Generative AI Engineer with less than a year in LLM-powered Applications & Cloud
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Generative AI Engineer with hands-on experience building LLM-powered applications, REST APIs, and cloud-deployed AI services. Proficient in Python, FastAPI, LangChain, RAG pipelines, vector databases, and prompt engineering using Gemini and Anthropic APIs. Built production-grade AI features including personalization services with MongoDB caching, JWT authentication, and token tracking. Comfortable deploying AI applications with Docker on GCP and Oracle Cloud.
IIT Madras
Professional Certificate · Data Science and Programming
August 1, 2022 – June 30, 2023
Samrat Ashok Technological Institute
B.Tech · Artificial Intelligence and Data Science
August 1, 2020 – June 30, 2024
SkillJourney LLP
Junior Software Engineer (AI/Backend)
March 1, 2026 – Present
India
SkillJourney LLP
Software Engineering Intern
September 1, 2025 – March 1, 2026
India
AI Chatbot with RAG Pipeline & Vector Search
January 1, 2024 – June 1, 2026
Built an end-to-end Retrieval-Augmented Generation (RAG) application using LangChain, ChromaDB as the vector database, and OpenAI embeddings for semantic document search. Designed a document ingestion pipeline that chunks, embeds, and stores knowledge base content, enabling context-aware LLM responses with source attribution. Exposed the chatbot via a FastAPI REST API with prompt engineering templates for consistent, grounded answers, containerized and deployed using Docker. Implemented conversation memory and multi-turn context management to support stateful AI agent interactions.
View ProjectLLM Personalization Service
January 1, 2024 – June 1, 2026
Engineered a production AI personalization microservice calling Gemini 1.5 Flash with custom prompt templates, caching responses in MongoDB with 30-day TTL to reduce redundant LLM calls. Secured all endpoints with JWT authentication and built feature-flag toggles for controlled rollout of AI features. Added token usage tracking and error logging in JSON schema for monitoring LLM costs and debugging failures in production.
View ProjectSolHire – Decentralized Freelance Escrow on Solana
January 1, 2024 – June 1, 2026
Built a trustless escrow smart contract on Solana using Rust and Anchor framework with Phantom wallet authentication. Developed a full-stack interface in React and Node.js for job creation, milestone tracking, and automated payment release on Solana Devnet.
View ProjectFinancial Portfolio Risk Intelligence System
January 1, 2024 – June 1, 2026
Architected an end-to-end financial analytics pipeline to ingest, transform, and analyze multi-stock portfolio data using Python and PostgreSQL. Engineered risk metrics including daily returns, rolling averages, volatility, Sharpe ratio using advanced SQL (CTEs, window functions, aggregations). Built an interactive Power BI dashboard visualizing portfolio growth, volatility trends, and asset allocation.
View ProjectAzure AI-102
Unknown
June 1, 2026 – Present
NPTEL Big Data Computing
Unknown
June 1, 2026 – Present
GitHub Foundations
Unknown
June 1, 2026 – Present
Azure AI-900
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including AI, blockchain, and financial analytics, indicates a broad interest and adaptability. The focus on building end-to-end solutions aligns well with a product-oriented culture. The certifications in Azure AI and Big Data Computing show a commitment to continuous learning. However, the experience level is relatively junior, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's experience leading a hackathon team and mentoring junior peers suggests good leadership and collaboration skills. The detailed project descriptions indicate a structured approach to problem-solving and a focus on practical implementation. The ability to track LLM costs and implement feature flags shows an operational mindset.