Generative AI Engineer with less than a year in LLM-powered applications & RAG systems
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Generative AI Engineer specializing in building LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, AI agents, and production-ready AI workflows. Experienced with Python, FastAPI, Lang Chain, LangGraph, OpenAI API, vector databases, prompt engineering, and AI application deployment. Skilled in developing reliable AI solutions with backend services, API integrations, evaluation workflows, and scalable architectures.
Bharath University, Chennai
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
GenAI Lakes
FullStack GenAI Engineer - AI Applications & Full Stack Systems
July 1, 2025 – Present
Hyderābād, Telangana, India
Fast Trade99 - AI Integrated Stock Trading Automation Platform
July 1, 2025 – June 1, 2026
Engineered production-ready automation workflows using FastAPI services, external API integrations, authentication systems, and scalable backend architectures. Designed reliable backend systems for subscription management, role-based access control, user workflows, and secure data processing using PostgreSQL. Developed full-stack application modules using React.js, FastAPI, and REST APIs for real-world customer-facing workflows. Integrated multiple third-party APIs with OAuth authentication, request validation, retry mechanisms, and fault-tolerant communication patterns. Optimized backend performance through asynchronous processing, database indexing, query optimization, and scalable service design.
View ProjectFast Sales - Business Intelligence and Automation Platform
July 1, 2025 – June 1, 2026
Built business automation and analytics modules using React.js, FastAPI, and PostgreSQL supporting customer management, reporting, and operational workflows. Developed REST API services for workflow automation, data processing, and integration with backend systems. Improved application reliability through reusable components, testing practices, debugging, backend optimization, and performance-focused improvements.
View ProjectDeep Codex - AI Developer Intelligence Platform
July 1, 2025 – June 1, 2026
Built an agentic AI developer intelligence platform that analyzes code repositories using RAG pipelines, LLM orchestration, and tool-based reasoning workflows. Engineered document ingestion and retrieval pipelines using chunking strategies, OpenAI embeddings, and ChromaDB vector indexing for semantic search. Designed AI agent workflows using LangChain and LangGraph concepts with tools, memory patterns, planning loops, and context orchestration. Implemented evaluation workflows to measure retrieval quality, response accuracy, latency, and improve reliability of AI-generated responses.
View ProjectAskrivo Mortgage - AI Real Estate Financial Assistant
July 1, 2025 – June 1, 2026
Built an LLM-powered real estate assistant automating mortgage calculations, eligibility analysis, and AI-based financial query handling. Designed structured prompt workflows, response validation pipelines, and fallback handling mechanisms to improve LLM reliability. Developed React.js and TypeScript frontend integrated with FastAPI services for real-time AI interactions and structured response visualization.
View ProjectReal-Time Social Media Event Processing Pipeline
July 1, 2025 – June 1, 2026
Built distributed event-processing pipeline using Apache Kafka producer-consumer architecture for high-throughput data ingestion. Designed fault-tolerant workflows with offset management, retry handling, and recovery mechanisms. Developed scalable Python processing services supporting parallel processing, data transformation, and downstream integrations.
View ProjectSQL and Relational Databases 101
IBM Cognitive Class
June 1, 2026 – Present
Machine Learning with Python
IBM Cognitive Class
June 1, 2026 – Present
Introduction to Cloud
IBM Cognitive Class
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest and practical experience in Generative AI, which aligns well with the 'Generative AI Engineer' target role. The diversity of projects, from stock trading automation to AI developer intelligence and real estate assistants, indicates adaptability and a broad application of technical skills. The candidate's current role at 'GenAI Lakes' further reinforces this alignment. The breadth of technologies used (Python, JavaScript, TypeScript, various AI frameworks, databases, cloud tools) suggests a willingness to learn and apply diverse solutions.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted systems, suggesting good problem-solving and system thinking skills. The focus on 'production-ready automation workflows' and 'reliable backend systems' implies an understanding of operational requirements and best practices. However, direct evidence of collaboration, stress handling, or specific communication styles is not available in the provided data.