Rujith varma
Generative AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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
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.
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.
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.
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.
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
AI Agents in LangGraph
DeepLearning.AI
January 1, 2024 – Present
LangChain for LLM Application Development
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
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.
Limitations