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Generative AI Engineer with 1+ years in LLM & RAG Systems
Generative AI Engineer with approximately 1.5 years of hands-on experience building production-grade intelligent systems for AptivHires.com, a US-based AI-powered hiring platform. Transitioned from Electrical Engineering into AI/ML through self-directed learning and end-to-end production delivery. Delivered 4 live AI modules — an LLM+RAG chatbot, NLP resume builder, portfolio generator, and a real-time voice-interactive interview avatar — deployed on AWS. Proficient in LangChain, LangGraph, FAISS, HuggingFace Transformers, Whisper STT/TTS, MediaPipe, and FastAPI. Strong foundation in multi-agent orchestration, computer vision, and full-stack AI product development.
Ponnaiyah Ramajayam Institute of Science & Technology (PRIST University)
B.Tech · Electrical Instrumentation Engineering
August 1, 2018 – June 30, 2022
AptivHires.com
AI Engineer (Contract)
March 1, 2025 – February 1, 2026
United States
Smart Search Agent — Voice-Enabled Multi-Agent RAG System
June 1, 2026 – Present
Built a voice-first agentic search system with Whisper STT to LLM to TTS pipeline, achieving natural multi-turn conversation with persistent memory across sessions. Integrated real-time web search tool calling and Neo4j knowledge graphs to improve answer relevance by enriching context beyond static vector retrieval.
Yatra Guide AI Agent — Tourist Guide for India
June 1, 2026 – Present
Built a domain-specific RAG system used PostgreSQL(Neon) for storing source documents, Sentence Transformers for semantic search, for vector similarity used pinecone and T5 for answer generation over a curated temple knowledge corpus.
Ticket Router — Intelligent Support Ticket Classification
June 1, 2026 – Present
Automated support ticket triage using FAISS and Sentence Transformers for semantic matching and DistilBERT for multi-class classification, achieving high-accuracy department routing with zero manual intervention.
Heart Attack Prediction System
June 1, 2026 – Present
Dual-model system combining CNN for ECG image-based prediction and Random Forest for symptom and tabular data analysis, with a CLI interface and CSV-based workflow for medical and data science teams.
Quantization Fundamentals with Hugging Face
DeepLearning.AI
June 1, 2025 – Present
Multi AI Agent Systems with CrewAI
DeepLearning.AI
January 1, 2025 – Present
Function-Calling and Data Extraction with LLMs
DeepLearning.AI
June 1, 2024 – Present
LangChain for LLM Application Development
DeepLearning.AI
January 1, 2024 – Present
AI Agents in LangGraph
DeepLearning.AI
January 1, 2024 – Present
The candidate scored 82% on the Data Scientist — Artificial Intelligence exam, demonstrating a solid grasp of the fundamental concepts and principles relevant to AI and data science. This indicates a strong theoretical foundation.
Strengths
Limitations
Cultural Fit Analysis
The candidate's portfolio demonstrates a strong alignment with an innovative, fast-paced environment focused on cutting-edge AI solutions. The diversity of personal projects (Yatra Guide AI, Smart Search Agent, Ticket Router, Heart Attack Prediction) alongside professional work indicates a passion for AI and continuous learning. The certifications from DeepLearning.AI further reinforce a commitment to staying current with industry trends and best practices in AI. The focus on practical, problem-solving applications suggests a good fit for a team that values tangible impact and technical execution.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience highlight a proactive, self-directed learning approach, transitioning from Electrical Engineering to AI/ML. The focus on delivering production-grade solutions and optimizing performance suggests a results-oriented and practical mindset. The ability to work on diverse projects (RAG systems, voice agents, computer vision) indicates adaptability and a broad technical interest. The contract role at AptivHires.com suggests an ability to deliver on specific project goals within a defined timeframe.