Generative AI Engineer with less than a year in LLM-Powered Applications & Backend Development
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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 – Present
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 ProjectFinancial Portfolio Risk Intelligence System
January 1, 2024 – Present
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.
SolHire – Decentralized Freelance Escrow on Solana
January 1, 2024 – Present
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 ProjectLLM Personalization Service
January 1, 2024 – Present
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.
GitHub Foundations
Unknown
June 1, 2026 – Present
NPTEL Big Data Computing
NPTEL
June 1, 2026 – Present
Azure AI-102
Unknown
June 1, 2026 – Present
Azure AI-900
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including AI chatbots, financial analytics, and decentralized applications, demonstrates a broad interest and adaptability. The academic background in AI and Data Science, coupled with professional certifications, indicates a commitment to continuous learning. The experience at SkillJourney LLP, moving from intern to junior engineer, suggests loyalty and growth within an organization. The leadership experience further points to a collaborative and initiative-taking individual, aligning well with a dynamic tech culture.
Soft Skills & Operational Fit
The candidate's project descriptions and professional summary indicate a proactive approach to problem-solving and a focus on practical application. The leadership experience in a hackathon and mentoring junior peers suggests good teamwork and communication skills. The operational fit is strong given the focus on deployment, monitoring, and performance optimization in their AI projects.