Nidish Ramakrishnan

Nidish Ramakrishnan

$100/hr
Full Stack Web3 Developer | EVM, Polkadot, Hyperledger
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
29 years old
Location:
Bangalore, Karnataka, India
Experience:
9 years
Nidish Ramakrishnan- | Nidish Ramakrishnan | LinkedIn - Deloitte, EY, Jio | Lead Tech. Advisor | Ethereum EIPs | Blaze Scalability Protocol Technical Expertise • • • • • • • 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 • Description: Built an AI-driven teacher assessment tool to evaluate pedagogy, teaching style, and effectiveness using ML models and conversational AI. • Responsibilities: o Implemented an AI-based evaluation system using ML models for behavioral & pedagogical analysis through live video assessments. o Developed a web-based interface with NestJS, TypeScript, and Node.js for seamless access and evaluation tracking. o Integrated Conversational AI (Rasa, Eleven Labs) for voice-based interactions & personalized feedback. • o Used PyTorch and Hugging Face Transformers for NLP-driven assessment scoring. o 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 • Description: Developed an AI-powered system for detecting dress code violations and emergency situations using real-time CCTV feeds. • Responsibilities: o Designed & deployed a computer vision pipeline using TensorFlow, OpenCV, and Deepgram for real-time dress code and emergency scenario analysis. • o Built a Dockerized microservices architecture with Python & Node.js for edge processing & alerts. o Integrated MLOps pipelines with Kubeflow and MLflow for continuous model training & iteration. o 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 • Description: Designed an internal AI-powered meeting summary tool that records, transcribes, summarizes, and provides easy query lookup. • Responsibilities: o Developed a speech-to-text pipeline using Whisper AI and Deepgram for high-accuracy transcription. • o Built a React & TypeScript front-end for seamless query and retrieval. o Created a backend pipeline with Node.js, and PostgreSQL for structured data storage and retrieval. o 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 • 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. • • Responsibilities: o Designed a multi-storage using Swarm decentralized data storage and retrieval. o Developed npm package for file management, integrating with TypeScript and Node.js. o Integrated with React-based dashboard for file uploads, retrievals, and storage insights. o 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 • Description: Developed an AI-powered ERP system with voice-based conversational interfacesa. • Responsibilities: • o Built ERP system integrated with chatbots & voice-based commands using Rasa and Eleven Labs. o Developed an API-driven backend with Ruby on Rails and NestJS, supporting modular automation. o Integrated GraphQL for efficient data querying and PostgreSQL for structured data storage. o 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) • Description: Built a gas metering and tracking platform to monitor, record, and analyze gas usage across various meters. • • Responsibilities: o Designed & developed decentralized data logging system using Fabric and Golang chaincodes. o Implemented data streaming and real-time processing using Apache Kafka and Redis. o Developed a NestJS and Node.js API backend for metering data retrieval and reporting. o Integrated Prometheus and Grafana for real-time dashboarding. o 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) • Description: Conceptualized & developed peer-to-peer (P2P) trading platform for energy trading. • Responsibilities: • o Led the strategic planning and roadmap development for blockchain initiatives. o Implemented a dApp for energy trading on a permissioned blockchain network. o Developed chaincodes to facilitate secure and transparent transactions. o Integrated microservice architecture to ensure scalability and robustness. o Used Postgres and Redis for data storage and caching to enhance performance. o Deployed the application using Docker and Kubernetes for containerization and orchestration. o Leveraged Google Cloud services for cloud infrastructure and scalability. o 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) • 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. • Responsibilities: o Developed smart contract using Ink language on Rust, tailored for Substrate blockchains. • o Ensured secure & efficient data storage on Substrate node, adhering to best practices. o Utilized the Substrate framework to manage and interact with the smart contract. o Employed Rust for high-performance and secure smart contract development. o Created documentation & guides to support the deployment and usage of the smart contract. o Conducted rigorous testing and validation to ensure reliability and security of the smart contract. o 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) • Description: Engineered and developed a robust platform for decentralized applications (dApps) capable of handling over 50,000 transactions per second. • Responsibilities: • o Engineered, drafted, and filed 3 patents foundational to Distributed Ledger Technology (DLT). o Led engineering and development of the protocol, ensuring high performance and scalability. o Conducted thorough protocol validation and testing to ensure robustness and security. o Directed multiple teams in building applications on top of the Blaze protocol. o Implemented Bitshares for blockchain framework and used libp2p for peer-to-peer networking. o Developed using C++ for core blockchain functionalities. o Utilized Boost libraries for advanced C++ programming needs. o 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) • Description: Developed backend support for multiple cryptocurrencies within the Ethos ecosystem. • Responsibilities: • o Built backend systems for 30+ cryptocurrencies. o Designed and implemented microservice architecture to ensure scalability and robustness. o Integrated NodeJS and Python for backend development and API creation o Utilized Postgres and Redis for data storage and caching. o Employed Docker and Kubernetes for containerization and orchestration. o 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) • Description: Designed a gateway to convert multiple types of cryptocurrencies and facilitate merchantside fiat payments. • • Responsibilities: o Developed backend services to support conversion of 15+ types of crypto-coins. o Integrated APIs for real-time exchange rate retrieval and conversion. o Created a secure and efficient system for handling fiat payments. o Utilized NodeJS and Python for backend development. o Employed Postgres and Redis for data management and caching. o Leveraged Google Cloud services for infrastructure and scalability. Tech Stack: NodeJS, Python, GraphQL, Postgres, Redis, NATS, Docker, Kubernetes, GCP. Decentralized Exchange (DEX) Interface (Deqode) • Description: Led a team to build a decentralized exchange interface allowing the swapping of multiple types of coins. • Responsibilities: • o Designed and developed a user-friendly interface for the DEX. o Implemented smart contracts to facilitate secure and transparent coin swaps. o Integrated backend services to handle transaction processing and order matching. o Utilized microservice architecture for scalability and robustness. o Employed Docker and Kubernetes for containerization and orchestration. o 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) • Description: Proposed a comprehensive transformation of the payments experience using Real-Time Payment Systems (RTPS), cryptocurrency, and Directed Acyclic Graph (DAG) technology. • Responsibilities: • o Conducted detailed analysis of current payment systems & identified areas for improvement. o Developed a transformation proposal leveraging RTPS, cryptocurrency, and DAG technology. o Created business cases & financial models to demonstrate potential cost savings and gains. o Presented proposal to senior executives, highlighting strategic benefits and roadmap. o Coordinated with technical teams to ensure feasibility and alignment with business objectives. Business Tools: Power BI, PowerPoint, Excel, Visio, SharePoint, JIRA, Confluence Education • MBA, IT Strategy IIM Kozhikode 2019 - 2021 • Bachelors of Technology (B.Tech) IIT Indore 2013 - 2017
Get your freelancer profile up and running. View the step by step guide to set up a freelancer profile so you can land your dream job.