About
Software Engineer with 3+ years shipping scalable backend services and production AI/ML systems across telecom and real estate. I build microservices in FastAPI/Flask (Python) and C++ for latency-critical workloads, and own ML pipelines end-to-end — from feature engineering and model training to deployment. Some things I've shipped in production: 🔹 High-throughput ML inference microservice (Whisper ASR) processing 5,000 min/day at 96% accuracy, sub-200ms latency 🔹 Transformer-based document-understanding service achieving 95% extraction accuracy on unstructured real-estate documents 🔹 Samsung Design Intelligence Platform — Agentic AI + RAG backend over 10,000+ Figma files, UX reports, Jira tickets, and Confluence pages, cutting design research time from hours to under 2 minutes (91% top-3 retrieval accuracy) 🔹 Telecom anomaly-detection service handling 10k calls/day, sub-100ms P99 latency, 18% reduction in false positives 🔹 RAG-based search engine at 100 QPS, 99.7% uptime; CI/CD across 12 ML services at 99.8% uptime Stack: Python, C++, FastAPI, Flask, LangChain, FAISS, Hugging Face Transformers, OpenAI API, PyTorch, TensorFlow, Docker, AWS, GCP, Redis, PostgreSQL. Beyond the day job: mentor at Scaler Academy (50+ students guided, 18 placed at FAANG companies), Top 2% on LeetCode (500+ problems solved), Rank 31/5000+ in Xiaomi Ode2Code. I'm looking for roles where backend Platform AI , Forward Deployed Engineer and ML performance/Data scientist roles have to hold up under real production load — and where I can keep growing into technical leadership. 📫 adityasinghw84it@gmail.com | GitHub: github.com/aditya-singh0
