Sankalp Saxena

I don't just build apps; I design 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐡𝐢𝐠𝐡-𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐞𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that solve complex business problems. Whether you are a global enterprise modernizing a legacy SAP stack or a high-growth startup building a "Ground-Truth" RAG AI assistant, I provide the 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐚𝐥 𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 to design it and the 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 to ship it.

𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞

𝐙𝐞𝐫𝐨-𝐇𝐚𝐥𝐥𝐮𝐜𝐢𝐧𝐚𝐭𝐢𝐨𝐧 𝐀𝐈: I specialize in RAG (Retrieval-Augmented Generation) systems for regulated industries where accuracy is non-negotiable.

𝐁𝐫𝐢𝐝𝐠𝐞 𝐭𝐡𝐞 𝐆𝐚𝐩: I speak "CXO" (Strategy/ROI) and "Engineer" (Code/Kubernetes) fluently.

𝐇𝐲𝐛𝐫𝐢𝐝 𝐍𝐚𝐭𝐢𝐯𝐞: Deep expertise in merging modern GenAI/Cloud-native tools with legacy ERPs (SAP, Oracle, Salesforce).

𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞

𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 & 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠

Microservices, Event-Driven Architecture, Clean/Hexagonal Architecture

API-first, scalable, fault-tolerant distributed systems

Java (Spring Boot/Cloud), Python, Node.js, Go

Kafka, RabbitMQ, REST/SOAP, Observability & Performance Engineering

𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬

AWS, Azure, Google Cloud (GCP) – multi-cloud & hybrid architectures

Kubernetes (AKS, GKE), Docker, Terraform, CI/CD (Jenkins, Azure DevOps)

Security-first designs, container hardening, DevSecOps

𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐑𝐀𝐆

Designed and deployed enterprise RAG pipelines using LangChain, CrewAI, AutoGen, Atomic Agents

LLMs: GPT-4, Claude, LLaMA, Mistral (cloud + on-prem)

Vector DBs: Pinecone, ChromaDB, Weaviate, Milvus

Hybrid retrieval, multi-vector indexing, agentic workflows, tool-calling

Scalable, compliant AI systems with observability, governance, and security

𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐋𝐨𝐰-𝐂𝐨𝐝𝐞

n8n, Airtable,Zapier, Power Automate, Appsmith

Event-driven enterprise & SaaS automation

𝐒𝐀𝐏 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦

SAP Hybris B2B/B2C, SAP Commerce modernization

SAP BTP (Integration Suite, CAP, Event Mesh, Workflow)

S/4HANA migrations, SAP Fiori/UI5, SAP Analytics, SAP CIAM

SAP + Cloud + AI integrations at enterprise scale

𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬

MuleSoft, Software AG (webMethods), Talend

Salesforce, Oracle Fusion, ERP & legacy system integrations

𝐏𝐑𝐎𝐕𝐄𝐍 𝐂𝐀𝐒𝐄 𝐒𝐓𝐔𝐃𝐘: 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐑𝐀𝐆 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭

The Problem: Client had 1,000+ unorganized SOPs/Manuals in Google Drive leading to operational errors.

The Solution: Built a Python/LlamaIndex RAG pipeline with strict groundedness.

The Result: 95% reduction in "where is this policy?" Slack messages; 100% citation accuracy using pgvector and Google Workspace APIs.

Core Tech: FastAPI, Pinecone/pgvector, GPT-4o, Streamlit/Slack UI.

𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐟𝐨𝐫 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐢𝐧𝐠, 𝐆𝐞𝐧𝐀𝐈/𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬, 𝐂𝐥𝐨𝐮𝐝 𝐌𝐨𝐝𝐞𝐫𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐒𝐀𝐏 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬, 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐥𝐞𝐱 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐁𝐮𝐢𝐥𝐝𝐬.

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