SHEET 00 — TITLE
Nishanth
Saka
Agentic AI · RAG · MLOps · Production Python Systems
SHEET 01 — SUMMARY
Always learning. Usually building.
Hands-on AI and software engineer with 20 years of experience designing and shipping production systems across AI, computer vision, real-time collaboration, healthcare, media processing, cloud platforms and public-sector workflows.
Currently building NewsRoom AI, a local-first, multi-service GenAI platform using Python, FastAPI, Ollama and Qwen — with structured generation, deterministic validation, evidence provenance, persistent workflow state, retry and recovery logic, and detailed observability. The platform is being extended into a production-style RAG, MCP and bounded agentic-AI architecture for auditable research over a continuously growing news corpus.
Strong in production Python engineering, API and database design, concurrency-aware backend systems, Docker/Kubernetes, AWS, model serving, evaluation-oriented AI workflows, multimodal pipelines, and translating ambiguous stakeholder needs into resilient, deployable systems.
SHEET 02 — SCHEMATIC
Core modules
Agentic AI & Orchestration
Stateful writer–critic–reviser workflows, bounded retries, model-directed and deterministic routing, schema-validated tool contracts, human-governed actions, LangGraph-oriented research-agent design.
RAG & Context-Aware AI
Canonical document modelling, chunking, embeddings, vector and lexical retrieval, metadata filtering, reranking, context assembly, citations, provenance, abstention, retrieval benchmarks and evaluation.
LLM Engineering
Ollama, Qwen, structured outputs, prompt/context engineering, grounding checks, local LLM deployment, failure taxonomies, revision loops, quality gates and model-provider abstraction.
MCP & Tool Integration
MCP server architecture for typed news search, article retrieval, topic research, source comparison and roundup-evidence tools; separation of MCP contracts from business services.
AI/ML & Computer Vision
YOLO, OpenCV, OCR/ANPR, object tracking, segmentation, depth estimation, Vision Transformers, PyTorch, TensorFlow, InstructBLIP, diffusion pipelines.
MLOps & Model Deployment
FastAPI inference services, GPU-backed deployments, model serving, production diagnostics, monitoring dashboards, CI/CD, API integration.
SHEET 03 — SYSTEMS
Selected production AI systems
NewsRoom AI
IN DEVELOPMENTAutomates news ingestion, deduplication, story ranking, evidence-grounded script generation, narration, captions, visual selection and short-form video production.
Pravaha AI
LIVE — 2026 → PRESENTReal-time road-safety and traffic-monitoring platform on standard IP cameras: vehicle detection, ANPR/OCR, tracking, violation workflows, analytics, evidence review and live event management for public-sector operations.
Fabric Draping AI
SHIPPED — 2025Production image-AI platform for fabric and saree transformation: segmentation, depth estimation, shading, recoloring, seam correction and overlay workflows. Shipped 8+ production modules for fashion-reseller use cases.
SHEET 04 — REVISION HISTORY
Professional experience
| Rev | Date | Role / System | Notes |
|---|---|---|---|
| REV 05 | Present | Principal EngineerNewsRoom AI | Multi-service AI platform automating news ingestion, deduplication, story ranking, evidence-grounded script generation, narration, captions, visual selection and short-form video production. |
| REV 04 | 2026 – Present | Development Head & Principal EngineerPravaha AI — Real-Time ANPR & Traffic Monitoring | FastAPI video-processing services for RTSP ingestion, frame processing, OCR, object tracking and GPU-backed deployment. Operator dashboards for live monitoring, evidence review and camera/site rollout across public-sector traffic operations. |
| REV 03 | Jan 2025 – Dec 2025 | Principal EngineerFabric Draping AI | Fabric-AI platform on FastAPI, React/Vite, Supabase, Railway, Vercel and Hugging Face Spaces. CV pipelines for segmentation, depth estimation, shading, normal-map generation and retinting. Shipped 8+ production modules. |
| REV 02 | Apr 2024 – Dec 2024 | Principal EngineerPublic Phone LLC | Designed and built Public Phone, a video grievance-collection web app: capture, storage, transcription, translation and publishing. Python, Flask, React, Google Storage, Speech Recognizer, MoviePy, NumPy. |
| REV 01 | Mar 2022 – Apr 2024 | Principal EngineerTalview | Led development of Code Pair, a multi-participant real-time coding-assessment platform using CRDTs, Webhooks, GraphQL, Supabase, React, Node.js, Docker, Sandpack and CodeMirror. |
SHEET 05 — MARGIN NOTES
Education & additional notes
Education
B.E. Electronics & Communication EngineeringCBIT — 2005
Also worth knowing
- Production AI system architecture
- Real-time inference and video analytics
- Public-sector AI deployment workflows
- AI product prototyping to production
- Pre-sales, requirements gathering and client communication
- Engineering leadership and cross-functional delivery
- Scalable full-stack platform development