Languages
Python, JavaScript, TypeScript, SQL, NoSQL
BUILDING WITH PYTHON_
SENIOR SOFTWARE ENGINEER · FULL STACK · GENAI
5.5+ years building scalable backend systems, cloud-native applications, and AI-powered software. From secure APIs and microservices to RAG pipelines and AI assistants, I turn complex problems into production-ready products.
I'm Satyam, a Senior Software Engineer, Full Stack Developer, and GenAI Developer with more than 5.5 years of experience designing scalable backend systems, cloud-native applications, and AI-powered solutions.
My work spans production-grade REST APIs, distributed systems, microservices, and Generative AI applications built with LLMs, retrieval-augmented generation, embeddings, vector search, and AI agents. I care about solid architecture, useful AI, performance, and code that remains understandable long after launch.
A practical toolkit across backend engineering, GenAI, cloud infrastructure, and system design.
Python, JavaScript, TypeScript, SQL, NoSQL
LLMs, OpenAI APIs, LangChain, RAG, AI Agents, Agentic AI, Prompt Engineering, Embeddings, Vector Search, Semantic Search
Node.js, Express.js, Django, Flask, FastAPI, REST APIs, Microservices, JWT, OAuth
PostgreSQL, MongoDB, Redis, Pinecone
AWS, Docker, Kubernetes, GitHub Actions, CI/CD, Linux
Distributed Systems, Event-driven Architecture, API Gateways, RabbitMQ, Background Jobs, High Availability
Project: Bureau of Energy Efficiency (BEE) · Government project
MAKAUT University · 2019–2022
Selected projects from my work in retrieval, document intelligence, and AI-powered workflows.
An assistant that answers business questions using information grounded in internal documents.
A semantic search platform for PDFs, Word documents, and business manuals with an end-to-end retrieval workflow.
An AI-powered resume analysis workflow for parsing resumes, matching jobs, and improving keyword alignment.
A support chatbot with context-aware conversations, FAQ automation, memory, and multi-document retrieval.
Interested in backend engineering, scalable cloud systems, or practical GenAI applications? Reach out and let's talk through the problem.