I'm looking for a hybrid AI/ML role where I can own features end-to-end — building RAG systems, LLM applications, and Voice AI that real users interact with. I value teams that ship fast, measure impact, and give engineers real ownership over what they build.
Pavan Dheeraj
@pavandheeraj
AI/ML Engineer, 1.5 yrs shipping production RAG, LLM & Voice AI systems. Python/FastAPI, LangChain, vector search.
What I'm looking for
I'm an AI/ML engineer with ~1.5 years of hands-on experience building production AI systems across logistics, recruitment, and healthcare. My focus is retrieval-augmented generation (RAG), LLM orchestration, agentic workflows, and Voice AI.
Highlights: at GoComet I built a RAG Q&A engine on Pinecone with hybrid semantic + keyword search over a 59-article knowledge base, returning cited answers in under 2 seconds, plus a two-layer access-control system for the AI assistant. Earlier I built an end-to-end Voice AI pipeline (wake word, Whisper STT/TTS, speaker verification) for an in-car assistant, and a semantic candidate–job matching system that improved match accuracy by 28%.
My core stack is Python/FastAPI, LangChain & LangGraph, and vector databases (Pinecone, FAISS), working across OpenAI, Gemini, and open models like LLaMA 3. I handle the full pipeline — retrieval, prompt engineering, agentic design, API deployment, and observability.
I'm looking to own AI features end-to-end and ship things users actually touch, with a preference for hybrid roles. I care about measurable impact and moving fast.
Experience
Work history, roles, and key accomplishments
AI Engineer (SDE 1)
GoComet
Apr 2026 - Present (3 months)
Built the core RAG Q&A engine (Pinecone, hybrid semantic + keyword search over 59 articles) returning cited answers in under 2s. Designed a two-layer access-control system gating retrieval across 4 modules against 20+ user settings. Added page-aware LLM question routing (Next.js → WebSocket → FastAPI) and product analytics via Mixpanel. Stack: Python/FastAPI, LangChain, Pinecone.
AI/ML Engineer
Lizmotors
Feb 2026 - Apr 2026 (2 months)
Built an end-to-end Voice AI pipeline (wake word, Whisper STT/TTS, ECAPA-TDNN speaker verification) enabling hands-free, driver-authenticated in-car interactions for the "Nova" assistant. Developed an FSM-based dialogue manager with multi-turn context and intent routing, plus a voice payment flow with OTP/PIN authorization and driver-profile order memory. Stack: Python, Whisper, PyTorch.
AI/ML Engineer
BLU Consultancy
Apr 2025 - Jan 2026 (9 months)
Deployed an AI resume-intelligence platform processing 5,000+ profiles, cutting manual screening 35% via custom SpaCy NLP extraction from unstructured PDFs. Built semantic candidate–job matching (OpenAI embeddings + FAISS) improving match accuracy 28%, plus a RAG assistant over 200+ docs at 90% relevance. Shipped FastAPI REST APIs with RBAC at sub-1.5s latency.
Built a real-time ASR system using NeMo and LLM agents (LangChain, CrewAI). Developed CV models using MONAI (SwinUNETR, SegResNet) and Florence-2 for spine MRI analysis. Deployed AI workflows on Azure ML, achieving top 20% performance in internal benchmarks.
Improved model deployment speed by 40% through cloud-based CNN/VGG19 weather app built with AutoAI. Built ML models (K-Means, Decision Trees, Naïve Bayes) with GridSearchCV. Deployed vision and NLP models via Flask and Azure Cognitive Services. Gained hands-on experience in preprocessing, model building, and data visualization.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
M.Tech Integrated, CSE Specialization in Data Science
2020 - 2025
Grade: 8.67
Activities and societies: Student Member of the Health Club, participating in community events and organizing marathons to promote fitness and well-being. Contributed to initiatives on preventing foodborne illnesses, advocating for hygiene and public safety.
Pursued an integrated Master of Technology in Computer Science with a specialization in Data Science. Achieved a GPA of 8.67, demonstrating strong academic performance in the field.
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