Nidish Ramakrishnan-
| Nidish Ramakrishnan | LinkedIn
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Deloitte, EY, Jio
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Lead Tech. Advisor
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Ethereum EIPs | Blaze Scalability Protocol
Technical Expertise
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Software Development & Programming: Python - 6 yrs, TypeScript - 6 yrs, Golang - 3 yrs, Solidity - 4 yrs,
Ruby - 3 yrs, Rust - 1 yr, NestJS - 3+ yrs, Ruby on Rails - 3+ yrs, Node.js - 6+ yrs, API Development,
Authentication & Authorization, Caching, Security, Testing, Observability
Cloud & DevOps Engineering: AWS - 5+ yrs, Google Cloud - 5+ yrs, Multi-cloud Deployments - 3+ yrs,
Kubernetes - 5+ yrs, Helm Charts - 3+ yrs, Docker, Terraform - 4 yrs, Nomad - 1-2 yrs, Consul Connect - 1-2
yrs, Service Mesh Architectures - 1-2 yrs
Blockchain & Web3 Engineering: Ethereum - 6 yrs, Substrate, Cosmos - 1 yr, Custom Layer 2 Chains,
AMMs, Decentralized Exchanges (DEXs), Bridges, Oracles, Staking, IBC, Solidity - 4+ yrs, Ink! (Substrate) 2+ yrs, Multi-Chain Integration - 3+ yrs, IPFS - 2+ yrs, Swarm - 1+ yr, The Graph - 2+ yrs, SubQuery - 1+ yr
System & Solution Architecture: Cloud-Native Design - 5+ yrs, Microservices Architecture - 3+ yrs,
System Scalability & Performance Optimization - 3+ yrs, DLT Infrastructure - 3+ yrs, Permissioned & Public
Chain Design - 3+ yrs, Consensus Mechanisms - 3+ yrs, ML Model Deployment - 3+ yrs, Feature Store
Design - 2+ yrs, Data Pipelines - 3+ yrs, AI Infrastructure - 3+ yrs
Machine Learning & AI: XGBoost - 2 yrs, CatBoost - 2 yrs, Scikit-Learn - 5+ yrs, PyTorch - 3+ yrs,
TensorFlow - 3+ yrs, Hugging Face Transformers - 2 yrs, OpenAI GPT APIs - 2+ yrs, Diffusion Models
(Stable Diffusion) - 1+ yr, Reinforcement Learning (RLHF for AI fine-tuning) - 1+ yr, AI-driven NLP pipelines 3+ yrs
Conversational AI & Speech Technologies: Rasa - 2 yrs, Eleven Labs Conversational Assistants - 1+ yr,
Deepgram - 1+ yr, Whisper AI - 1+ yr
MLOps & Feature Stores: MLflow - 3+ yrs, Kubeflow - 2 yrs, Flyte - 2 yrs, Hopsworks Feature Store - 2 yrs,
Feast - 2+ yrs, Featureform - 2 yrs, Ray for distributed computing - 2 yrs
Professional Experience
Senior Platform Architect & DevOps | Independent Contractor
Lead Advisor of New-Gen Initiatives | TruePower by Jio
Blockchain Consultant-Engineering | Deloitte
Product Solutioning Program | Microsoft
AI SaaS Consultant | EY
Lead Blockchain Developer | Deqode
Oct 2023 - Present
Oct 2022 – Feb 2025
May 2021 – Oct 2022
Aug 2020 – Oct 2020
May 2020 – Jun 2020
May 2017 – May 2020
Projects
Technical Projects
MENTRIC Consulting – AI-Powered Teacher Evaluation System
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Description: Built an AI-driven teacher assessment tool to evaluate pedagogy, teaching style, and
effectiveness using ML models and conversational AI.
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Responsibilities:
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Implemented an AI-based evaluation system using ML models for behavioral & pedagogical analysis
through live video assessments.
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Developed a web-based interface with NestJS, TypeScript, and Node.js for seamless access and
evaluation tracking.
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Integrated Conversational AI (Rasa, Eleven Labs) for voice-based interactions & personalized
feedback.
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Used PyTorch and Hugging Face Transformers for NLP-driven assessment scoring.
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Deployed on Google Cloud with Kubernetes and Helm for scalability.
Tech Stack: Python, NestJS, Rasa, Eleven Labs, PyTorch, Hugging Face, Kubernetes, Helm, GCP
ISRO (Indian Space Research Organization) – CCTV Dress Code & Emergency Detection System
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Description: Developed an AI-powered system for detecting dress code violations and emergency
situations using real-time CCTV feeds.
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Responsibilities:
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Designed & deployed a computer vision pipeline using TensorFlow, OpenCV, and Deepgram for
real-time dress code and emergency scenario analysis.
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Built a Dockerized microservices architecture with Python & Node.js for edge processing & alerts.
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Integrated MLOps pipelines with Kubeflow and MLflow for continuous model training & iteration.
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Ensured real-time alerting with Prometheus & Grafana, deployed within on premise private cloud.
Tech Stack: Node.js, Golang, TensorFlow, OpenCV, Deepgram, MLflow, Kubeflow, Docker, Kubernetes,
Prometheus, Grafana
ISRO (Indian Space Research Organization) – Meeting Summary & Transcription Tool
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Description: Designed an internal AI-powered meeting summary tool that records, transcribes, summarizes,
and provides easy query lookup.
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Responsibilities:
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Developed a speech-to-text pipeline using Whisper AI and Deepgram for high-accuracy
transcription.
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Built a React & TypeScript front-end for seamless query and retrieval.
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Created a backend pipeline with Node.js, and PostgreSQL for structured data storage and retrieval.
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Deployed a containerized microservice on Kubernetes with API integrations for real-time summaries.
Tech Stack: Whisper AI, Deepgram, React, TypeScript, NestJS, Node.js, PostgreSQL, Kubernetes
Swarm – Decentralized Storage & File Manager Library
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Description: Developed a decentralized storage solution integrating Swarm and IPFS, including an npm
package for file management and a front-end integration for bee-dashboard.
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Responsibilities:
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Designed a multi-storage using Swarm decentralized data storage and retrieval.
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Developed npm package for file management, integrating with TypeScript and Node.js.
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Integrated with React-based dashboard for file uploads, retrievals, and storage insights.
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Created search and retrieval functions using Mantaray.js and Feeds for efficient content discovery
Tech Stack: Swarm, IPFS, The Graph, TypeScript, Node.js, React, AWS, Google Cloud, Terraform
Klassique Signage – AI-Driven ERP System
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Description: Developed an AI-powered ERP system with voice-based conversational interfacesa.
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Responsibilities:
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Built ERP system integrated with chatbots & voice-based commands using Rasa and Eleven Labs.
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Developed an API-driven backend with Ruby on Rails and NestJS, supporting modular automation.
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Integrated GraphQL for efficient data querying and PostgreSQL for structured data storage.
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Deployed on Google Cloud with Kubernetes, Helm, and Docker for scalability.
Tech Stack: Rasa, Eleven Labs, Ruby on Rails, NestJS, GraphQL, PostgreSQL, Kubernetes, Helm, GCP
EnerGeStreams – Gas Metering & Tracking System (Jio Energy)
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Description: Built a gas metering and tracking platform to monitor, record, and analyze gas usage across
various meters.
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Responsibilities:
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Designed & developed decentralized data logging system using Fabric and Golang chaincodes.
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Implemented data streaming and real-time processing using Apache Kafka and Redis.
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Developed a NestJS and Node.js API backend for metering data retrieval and reporting.
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Integrated Prometheus and Grafana for real-time dashboarding.
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Deployed on Kubernetes with Dockerized microservices for scalable architecture.
Tech Stack: Fabric, Golang, Apache Kafka, Redis, NestJS, Prometheus, Grafana, RedHat OpenShift
EnerGeTrade, Blockchain-based Trading Platform (Jio Energy)
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Description: Conceptualized & developed peer-to-peer (P2P) trading platform for energy trading.
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Responsibilities:
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Led the strategic planning and roadmap development for blockchain initiatives.
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Implemented a dApp for energy trading on a permissioned blockchain network.
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Developed chaincodes to facilitate secure and transparent transactions.
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Integrated microservice architecture to ensure scalability and robustness.
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Used Postgres and Redis for data storage and caching to enhance performance.
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Deployed the application using Docker and Kubernetes for containerization and orchestration.
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Leveraged Google Cloud services for cloud infrastructure and scalability.
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Employed Golang for developing and deploying Hyperledger Fabric chaincodes.
Tech Stack: Microservice architecture, Golang, NodeJS, Python, Ruby on Rails, GraphQL, Postgres,
Redis, NATS, Docker, Kubernetes, Google Cloud services, Solidity, Kubernetes, Helm Charts.
EnerGeGRID Smart Contract Development on Substrate Node (Jio Energy)
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Description: Created a smart contract in the Ink language on Rust to store data from EnerGrid with
various loads and sources, and triggering of Distributed Energy Resource (DER) conditions.
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Responsibilities:
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Developed smart contract using Ink language on Rust, tailored for Substrate blockchains.
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Ensured secure & efficient data storage on Substrate node, adhering to best practices.
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Utilized the Substrate framework to manage and interact with the smart contract.
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Employed Rust for high-performance and secure smart contract development.
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Created documentation & guides to support the deployment and usage of the smart contract.
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Conducted rigorous testing and validation to ensure reliability and security of the smart contract.
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Seamlessly integrated data flow between the DERMS platform and smart contract.
Tech Stack: Rust, Ink language, Substrate framework, Docker, Kubernetes, Postgres, Redis,
Prometheus, Grafana, Git, Continuous Integration/Continuous Deployment (CI/CD) pipelines.
Blaze Protocol, Multi-Dimensional Ledger for dApps (Deqode)
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Description: Engineered and developed a robust platform for decentralized applications (dApps)
capable of handling over 50,000 transactions per second.
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Responsibilities:
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Engineered, drafted, and filed 3 patents foundational to Distributed Ledger Technology (DLT).
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Led engineering and development of the protocol, ensuring high performance and scalability.
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Conducted thorough protocol validation and testing to ensure robustness and security.
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Directed multiple teams in building applications on top of the Blaze protocol.
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Implemented Bitshares for blockchain framework and used libp2p for peer-to-peer networking.
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Developed using C++ for core blockchain functionalities.
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Utilized Boost libraries for advanced C++ programming needs.
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Employed Prometheus and Grafana for monitoring and visualization.
Tech Stack: C++, Bitshares, libp2p, boost, Prometheus, Grafana, GCP, Typescript, Python, Docker,
Kubernetes.
Ethos1.0 Cryptocurrency Ecosystem Development (Deqode)
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Description: Developed backend support for multiple cryptocurrencies within the Ethos ecosystem.
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Responsibilities:
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Built backend systems for 30+ cryptocurrencies.
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Designed and implemented microservice architecture to ensure scalability and robustness.
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Integrated NodeJS and Python for backend development and API creation
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Utilized Postgres and Redis for data storage and caching.
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Employed Docker and Kubernetes for containerization and orchestration.
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Leveraged Google Cloud services for infrastructure and deployment.
Tech Stack: Microservice architecture, NodeJS, Python, Ruby on Rails, GraphQL, Postgres, Redis,
NATS, Docker, Kubernetes, Google Cloud services.
Crypto-to-Fiat Payment Gateway (Deqode)
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Description: Designed a gateway to convert multiple types of cryptocurrencies and facilitate merchantside fiat payments.
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Responsibilities:
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Developed backend services to support conversion of 15+ types of crypto-coins.
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Integrated APIs for real-time exchange rate retrieval and conversion.
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Created a secure and efficient system for handling fiat payments.
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Utilized NodeJS and Python for backend development.
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Employed Postgres and Redis for data management and caching.
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Leveraged Google Cloud services for infrastructure and scalability.
Tech Stack: NodeJS, Python, GraphQL, Postgres, Redis, NATS, Docker, Kubernetes, GCP.
Decentralized Exchange (DEX) Interface (Deqode)
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Description: Led a team to build a decentralized exchange interface allowing the swapping of multiple
types of coins.
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Responsibilities:
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Designed and developed a user-friendly interface for the DEX.
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Implemented smart contracts to facilitate secure and transparent coin swaps.
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Integrated backend services to handle transaction processing and order matching.
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Utilized microservice architecture for scalability and robustness.
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Employed Docker and Kubernetes for containerization and orchestration.
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Leveraged Google Cloud services for infrastructure and deployment.
Tech Stack: Solidity, NodeJS, Python, Ruby on Rails, GraphQL, Postgres, Redis, NATS, Docker,
Kubernetes, Google Cloud service
Payments Experience Transformation for a Leading US Oil & Gas Company (Deloitte)
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Description: Proposed a comprehensive transformation of the payments experience using Real-Time
Payment Systems (RTPS), cryptocurrency, and Directed Acyclic Graph (DAG) technology.
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Responsibilities:
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Conducted detailed analysis of current payment systems & identified areas for improvement.
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Developed a transformation proposal leveraging RTPS, cryptocurrency, and DAG technology.
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Created business cases & financial models to demonstrate potential cost savings and gains.
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Presented proposal to senior executives, highlighting strategic benefits and roadmap.
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Coordinated with technical teams to ensure feasibility and alignment with business objectives.
Business Tools: Power BI, PowerPoint, Excel, Visio, SharePoint, JIRA, Confluence
Education
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MBA, IT Strategy
IIM Kozhikode
2019 - 2021
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Bachelors of Technology (B.Tech)
IIT Indore
2013 - 2017