Engineering autonomous AI systems, zero-label drift monitoring, and high-scale ML.
I'm Venkateswara Sahu — B.Tech (Hons.) in CSE (Data Science & Data Engineering) at Lovely Professional University (CGPA 8.38). Creator of `vigil-drift` on PyPI, author of 9-node LangGraph self-correcting RAG architectures, and recipient of ₹1,00,000 university seed funding.
Star Projects & Case Studies
Production systems engineered with measurable benchmarks, autonomous state graphs, and streaming MLOps pipelines.
F1InsightAI — Autonomous Text-to-SQL RAG System
An enterprise Natural Language to SQL system querying over 700,000 records across 14 tables in TiDB Cloud. Built with a 9-node LangGraph autonomous state graph featuring FAISS vector sub-schema retrieval and self-correction reflection loops.
Vigil (`vigil-drift`) — Zero-Label Streaming Concept Drift Detection
An open-source Python library published to PyPI for unsupervised drift detection and root-cause attribution on live streaming data. Evaluated on the NSL-KDD network intrusion benchmark, delivering 93.3% precision, 100% novel attack class detection recall, and a 1-chunk detection delay without ground-truth labels.
P&ID Document AI & Automated Material Take-Off Extraction
An end-to-end computer vision and spatial graph extraction pipeline for engineering drawings. Combines custom YOLOv8 symbol detection with Connected-Component guided OCR (achieving a 50x speedup), spatial proximity graph construction in NetworkX, and LangGraph LLM validation to generate verified Excel MTO deliverables.
10M+ Display Ad Click-Through Rate Predictor & Ranking Engine
A high-throughput ad scoring and CTR forecasting system trained on 10,000,000+ Criteo ad interactions. Employs 150 engineered interaction features, Optuna Bayesian hyperparameter optimization across XGBoost and LightGBM ensembles, and a sub-0.5s Flask REST API for single-ad and batch ad bidding.
Core Capabilities & Toolchain
Generative AI & Agentic Systems
Computer Vision & Document AI
Streaming, MLOps & Infrastructure
Backends, Databases & Analytics
Experience & Milestones
Creator & PyPI Author
·Vigil Project (`vigil-drift`)- Architected and published `vigil-drift` on PyPI for zero-label unsupervised concept drift monitoring in real-time streaming data.
- Built Dual Autoencoder architecture (Adaptive and Frozen Mirror) with replicated T-tests, delivering 93.3% precision on NSL-KDD and feature-level attribution.
- Engineered stream-native Kafka consumer, FastAPI service, and Airflow auto-retrain DAG with quality gates and 81% test coverage.
Generative AI Intern
·TransOrg Analytics (Pickl.AI) × LPU- Architected F1InsightAI, an enterprise Text-to-SQL RAG system querying 700,000+ records across 14 relational tables on TiDB Cloud.
- Engineered 9-node LangGraph autonomous state graph with FAISS schema RAG and self-correcting retry loops, achieving 83.3% first-pass SQL execution accuracy.
- Delivered production-grade evaluation telemetry (5.5x MRR lift: 0.12 ➔ 0.67) and packaged modular REST inference endpoints.
Seed Fund Recipient (₹1,00,000 Grant)
·University Startup Incubation Evaluation- Awarded competitive ₹1,00,000 startup seed grant following technical evaluation and working prototype evaluation.
- Recognized by university startup panel for applying machine learning workflows to high-impact problem domains.
B.Tech (Hons.) CSE (Data Science & Data Engineering)
·Lovely Professional University- Specialization: Data Science & Data Engineering. Graduated with a strong cumulative CGPA of 8.38.
- Core coursework: Distributed Systems, Advanced Machine Learning, Data Warehousing, Computer Vision, Cloud Computing.
- Participated in technical hackathons and built multiple practical machine learning & Generative AI projects.
Multi-Track Resume Hub
I customize every resume for specific Job Descriptions to highlight relevant architectures across Generative AI, MLOps, Computer Vision, and Predictive ML.
Specialized in LangGraph multi-node state graphs, schema RAG, tool calling, reflection loops, Groq/Llama/GPT OSS inference, and vector databases (FAISS, TiDB Cloud).
Let's build something exceptional.
I am actively interviewing for full-time engineering roles in Bengaluru, Hyderabad, Gurugram, and Remote. Reach out directly or grab my resume.