AI / ML Engineer
4+ years designing and deploying production AI systems - from sub-500ms voice pipelines to enterprise RAG platforms serving millions of queries. Specialized in Speech AI, LLMs, and Vision-Language Models.
By the numbers
Delivered at Production Scale
Core competencies
Technical Depth
Built through 4+ years of hands-on research and production deployments
Speech AI
End-to-end voice intelligence pipeline design
LLMs & GenAI
Production-grade language model deployment
Vision AI
Multimodal perception & scene understanding
MLOps & Infra
Scalable model serving at production scale
Tools & Frameworks
Portfolio
Production AI Systems
Real-world AI systems with measurable impact - not demos, not notebooks
DIS-Vector
Open-Source Voice Intelligence Framework
End-to-end speaker embedding extraction, verification, and voice cloning. Achieves 97.3% speaker verification accuracy using contrastive learning on 10K+ hours of speech data.
Conversational AI Agent
Streaming ASR → LLM → TTS Pipeline
Sub-500ms end-to-end latency conversational agent. Full-duplex voice streaming with LLaMA-3 reasoning, intent detection, and XTTS neural speech synthesis over WebSockets.
Multimodal Vision RAG
Vision-Language Retrieval System
CLIP-powered multimodal embedding pipeline with LLaVA reasoning. Processes images + text queries against a Qdrant vector store for enterprise document intelligence.
Multilingual TTS Engine
Low-Latency Synthesis at Scale
Production TTS engine supporting 12 languages with sub-200ms first-token latency. Custom prosody model trained on 5K hours of studio-quality speech.
Enterprise RAG Platform
Knowledge Graph + Vector Hybrid
Hybrid search RAG with knowledge graph traversal. Combines dense retrieval (BGE-M3) with Neo4j graph reasoning for 40% improved answer relevance over naive RAG.
Real-Time Object Tracker
Edge-Optimized Vision Pipeline
ONNX-quantized YOLOv9 + ByteTrack deployed on edge hardware at 30fps. Used in retail analytics for customer flow mapping across 50+ stores.
Let's build something great
Looking to hire an AI Engineer?
I'm open to full-time roles and contract engagements in AI/ML, Speech AI, and LLM infrastructure.