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Generative AI Engineer with 1+ years in LLM Systems & FastAPI-based RAG pipelines.
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One of the few early-career engineers with simultaneous production exposure in ABDM-compliant healthtech backend systems, LLM distillation pipelines, and autonomous AI agent design—all within 12 months of graduation. Specializes in FastAPI-based system design, RAG pipelines, and LLM integration, bridging AI capabilities with scalable backend infrastructure across healthtech, enterprise data, and cybersecurity domains.
APJ Abdul Kalam Technological University
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
Recode AI
Software Developer
January 1, 2026 – May 28, 2026
Ernākulam, Kerala, India
IBS Software
AI Engineer
May 18, 2025 – November 18, 2025
Thiruvananthapuram, Kerala, India
IBS Software
AI Research Engineer
August 1, 2024 – March 1, 2025
Thiruvananthapuram, Kerala, India
AI Secure Data Intelligence Platform
June 18, 2026 – Present
Engineered full-stack system detecting sensitive data (PII, credentials, financial info) across 5+ file formats (TXT, PDF, DOCX, JSON, logs). Designed hybrid detection engine (rule-based + LLM) for structured and contextual sensitive data analysis. Implemented risk scoring model (0-10 scale) with automated severity classification and LLM-generated remediation suggestions. Deployed production system on Render (backend) + Vercel (frontend) with real-time file analysis APIs.
View ProjectRAG-based AI Chatbot
June 18, 2026 – Present
Designed RAG pipeline using FAISS + SentenceTransformers (MiniLM) for semantic document retrieval with configurable top-k selection. Integrated LLAMA 3.3 (70B) for context-aware answer generation across multi-document knowledge bases. Built document ingestion workflow enabling dynamic knowledge base creation via Streamlit interface.
View ProjectLangGraph Cybersecurity Agent - Sentinel Graph
June 18, 2026 – Present
Developed autonomous penetration testing agent orchestrating nmap, gobuster, and ffuf for full recon workflows. Architected graph-based conditional execution pipeline combining port scanning, directory enumeration, and endpoint fuzzing. Implemented scope enforcement system to restrict execution to authorized targets only. Built Streamlit logging and audit dashboard for real-time monitoring and reporting.
View ProjectEF SET English Certificate (C2 Proficient)
EF SET (EF Standard English Test)
June 17, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in diverse projects (healthtech, logistics, cybersecurity) and participation in an AI/ML hackathon demonstrate a broad interest in applying AI across different domains and a proactive learning attitude. The focus on practical, deployable solutions aligns well with a results-oriented culture. The experience in both research and development roles suggests adaptability to different team structures and objectives.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight strong problem-solving skills, an ability to work on complex, multi-stage AI workflows, and a proactive approach to system design and optimization. The C2 Proficient English certification suggests excellent communication skills, which are crucial for technical documentation and team collaboration. The hackathon participation indicates a collaborative and competitive spirit.