Ankit Singh
Senior Engineer 2 @WSA – Wonderful Sound for All
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WORK HISTORY
Senior Engineer 2 @WSA – Wonderful Sound for All
Hyderabad, IN
Architecting Test Intelligence platform using RAG to identify testing and coverage gaps across SRS, STS, and STRartifacts covering requirements and test cases. Designed a privacy-first, on-prem LLM architecture using local models via Ollama, ensuring 100% data residency and compliance with internal governance policies. Implemented hybrid retrieval (BM25 + semantic search) and agentic analytics flows to generate grounded insights on coverage %, risk scores, and release readiness.
EDUCATION
Chhotu Ram Rural Institute Of Technology And Pharmacy
Diploma of Education, Mechanical Engineering
Maharshi Dayanand University
Bachelor of Technology - BTech, Mechanical Engineering
Saint Giri Senior Secondary School - India
High School, Science
SunBeam Institute of Information Technology, Pune-Karad
Postgraduate Diploma, Diploma in Advanced Computing
ABOUT ANKIT SINGH
I\'m a Backend & GenAI Engineer with 2+ years of experience building production-grade AI systems, scalable microservices, and robust data pipelines—primarily in the healthcare AI space.At Genzeon, I’ve designed Airflow and Celery-based orchestration platforms that process 100K+ pages/month across OCR, classification, and AI inference. I’ve delivered end-to-end Retrieval-Augmented Generation (RAG) systems over 50K+ medical documents—leveraging LangChain, Milvus, PGVector, and Azure OpenAI for domain-specific copilots, including PDF/database Q\\ & A and field-aware chatbots.My work includes:• Deploying Quantized LLMs (GGUF, llama.cpp) with 30x faster inference on AI-ready GPUs (e.g, A100-class hardware)• Automating 450+ field extractions across DME, OPD, and Physical Therapy docs• Building Graph-RAG solutions with Neo4j for synonym-aware, contextual retrieval• Implementing real-time observability (ELK + Kafka) across 15+ microservices• Delivering HIPAA-compliant On-prem deployments for on-prem environmentsTechnologies I actively work with include Python, FastAPI, Apache Airflow, Redis Streams, Azure OpenAI, YOLOv8, Docker, Ansible, and PostgreSQL.I\'m passionate about building reliable, AI-enabled backend systems that solve real-world problems—especially in healthcare, insurance, and enterprise automation.Let’s connect if you’re working on LLMs, GenAI, or building distributed AI pipelines at scale!
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