Aditya Vikram S.

Senior Machine Learning Engineer | Generative AI, RAG, Computer Vision

I am a Senior Machine Learning Engineer with 6+ years of experience building production-grade AI systems — from Generative AI and agentic chatbots to computer vision pipelines and ML-backed backend services. My current focus is Generative AI, where I design and deploy: • Multi-agent AI systems using LangChain and LangGraph • Retrieval-Augmented Generation (RAG) over private and enterprise data • Voice-enabled AI assistants • OCR + LLM-based document intelligence solutions I don’t just build demos — I build scalable, reliable systems that work in real production environments. Along with Generative AI, I bring strong fundamentals across: • Classical and statistical machine learning • Deep learning (CNNs, Transformers, RNNs) • Computer vision using OpenCV and YOLO • Python backend development (FastAPI, Kafka, REST APIs) Some examples of real-world impact: ✔ Reduced operational workload by 15–20% using AI-driven recommendation systems ✔ Built multi-agent assistants for doctors, nurses, patients, and caregivers ✔ Achieved 97% accuracy in real-time Automatic Number Plate Recognition systems ✔ Deployed and managed ML services on AWS (EKS, Lambda, Bedrock, S3) My typical tech stack includes: Python, LangChain, LangGraph, LLMs, RAG, OpenAI, AWS Bedrock, FastAPI, Kafka, Docker, CI/CD, Postgres, PgVector, OpenCV, and PyTorch. If you are looking for someone who can take an AI idea from concept to production — or improve an existing ML system — feel free to message me with your use case. I’m happy to suggest the best technical approach before we start.