9 posts
• 34 topics
• 2+ years
What I Do
GenAI & LLMs
Building robust LLM applications, rigorous prompt engineering, and fine-tuning transformer models for specialized production use cases.
RAG Systems
Vector databases, semantic search, and highly-optimized retrieval pipelines.
Speech Intelligence
Scalable STT pipelines, advanced audio enhancement techniques, and speaker diarization systems engineered for high-throughput.
Experience
Backend AI/ML Developer
Jan 2024 – PresentWebs Optimization Software Solution
- Designed AI-driven backend services with FastAPI, supporting robust, high-volume async request processing architectures.
- Engineered end-to-end STT pipelines utilizing Whisper and Deepgram, dramatically reducing manual review bottlenecks by over 70%.
- Architected applied LLM workflows targeting intelligent summarization, automated sentiment analysis, and systematic action-item generation.
- Deployed distributed, highly-available ML pipelines using Celery and Redis to effortlessly manage fluctuating peak workloads.
Tech Stack
Core & Frameworks
Python FastAPI Flask LangChain
AI & Machine Learning
Transformers Whisper FAISS NLP Deepgram
Data & Infrastructure
PostgreSQL Redis Docker Celery GCP AWS