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Assessing your cultural and operational fit
MCA graduate and Generative AI Engineer with proven experience designing Python-based AI backend services, LLM orchestration pipelines, and React-powered frontends that surface AI outputs. Hands-on with LangChain, LangGraph, Llamalndex, RAG architectures, agent pipelines, prompt engineering, and LLM API integration (Anthropic Claude, OpenAI, Gemini, Groq, Hugging Face). Comfortable building end-to-end features — from prompt design to deployed UI — in fast-moving, ambiguous early-stage environments. Experienced with AI-assisted development workflows using Claude Code and Cursor for accelerated code generation, review, and debugging. Strong Git discipline, REST API fluency, and a bias for shipping.
Mahatma Gandhi University, Kerala
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
University of Calicut
Bachelor of Computer Applications (BCA)
August 1, 2020 – June 30, 2023
UST
Software Developer Trainee
December 1, 2025 – February 28, 2026
India
Travvise Travel Solution Pvt. Ltd.
Software Engineer Intern
November 1, 2024 – February 28, 2025
Kozhikode, Kerala, India
AI-Powered RAG Chatbot
June 1, 2026 – Present
Architected an end-to-end RAG pipeline using LangChain and OpenAI embeddings to answer queries grounded in custom PDF documents eliminating hallucinations and ensuring factual, source-attributed responses. Stored and retrieved vectors via ChromaDB; applied document chunking strategies and embedding optimisation for sub-second semantic search at query time. Designed prompt engineering templates and response-parsing logic for multi-turn conversations; surfaced outputs through a FastAPI REST backend consumed by a React frontend.
AI-Driven Automated Reel Generation System
June 1, 2026 – Present
Designed an LLM agent pipeline for end-to-end automation of 30-60 second short-form video generation — from theme input to final reel asset - using Generative AI throughout. Applied prompt engineering with Gemini 2.5 Flash to generate structured storyboards, scene descriptions, and captions; integrated third-party media APIs and webhooks for asset orchestration. Implemented robust async patterns and error handling to manage multi-step AI workflow execution reliably in production.
E-Commerce Platform
June 1, 2026 – Present
Built a full-stack e-commerce platform with product browsing, cart, order placement, and status tracking, exposing clean REST API endpoints for frontend consumption. Implemented role-based access control, dynamic order management, and Django ORM for efficient relational data handling.
College Student Management System
June 1, 2026 – Present
Developed a management system covering student records, attendance, login monitoring, and an integrated AI chatbot for student support queries.
QuizBuddy - Quiz Platform
June 1, 2026 – Present
Built a responsive quiz platform with user authentication, an admin dashboard for quiz management, and attempt-restriction logic using Django.
Google Data Analytics Professional Certificate
Coursera / Google
June 1, 2026 – Present
Introduction to Generative AI
Google Cloud
June 1, 2026 – Present
The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' test, indicating a very strong grasp of the subject matter.
Strengths
Limitations
Cultural Fit Analysis
The candidate's project portfolio includes both academic and personal projects, demonstrating initiative and a passion for applying AI technologies. The 'AI-Driven Automated Reel Generation System' and 'AI-Powered RAG Chatbot' projects show a strong alignment with the Generative AI domain. The academic achievements (Class Topper, Class Representative, Workshop Organiser) suggest leadership potential and a proactive approach to learning and community involvement. The breadth of skills across AI/LLM integration, Python backend, and ML/Data indicates a versatile and adaptable individual.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with frontend teams, adherence to clean OOP principles, and use of Git/GitHub PR workflows, suggesting a good operational fit for team environments. The psychometric test score of 357/500 indicates moderate logical reasoning, work attitude, stress handling, and team collaboration, which could be further explored in an interview.