E Purna Chandra Patro

Engineering Manager

Engineering leader with 14+ years across distributed systems, big-data platforms, mobile, and AI/ML. I’ve led 15-person cross-functional teams, scaled services to 120k RPM at p99, and most recently shipped production computer-vision and agentic LLM systems end-to-end. I move comfortably between hands-on coding and team building, and I enjoy taking a fuzzy product idea from zero to a deployed, monitored service.

Contact

• Location: Bangalore, Karnataka 752054
• Phone: +91 704 580 0427
• Email: purnachandra.patro@gmail.com
• LinkedIn: https://www.linkedin.com/in/purnaiitb/

Skills

Leadership — Team building, hiring & coaching, agile delivery, sprint design, code & architecture review, technical roadmapping, stakeholder management

Backend & Distributed Systems — Python (FastAPI, Flask, Falcon, Django), Node.js (Express, Sails), Java, Kafka, Celery, async SQLAlchemy, Alembic, Pub/Sub, microservices, high-concurrency services (120k RPM at p99)

AI / ML / Agents — LLM application development, CrewAI, Google ADK, Vertex AI, Gemini 2.5 Flash, prompt engineering, multi-agent orchestration, RAG with vector stores (Chroma), embeddings (sentence-transformers), LiveKit voice agents (Google STT/TTS), Machine Learning specialisation (DeepLearning.AI / Stanford)

Computer Vision — YOLO (v8/v10/v11), ByteTrack, ReID (ResNet50, OSNet), OpenCV, RTSP pipelines, Shinobi, person re-identification, zone mapping

Frontend & Mobile — React, TypeScript, Vite, Material-UI, react-query, react-konva, Android (Kotlin, Jetpack Compose)

Data & Storage — PostgreSQL, MongoDB, MySQL, HBase, Hadoop, Hive, DuckDB, Redis, Chroma vector DB, CouchDB

Cloud & Infra — Google Cloud (GCS, Pub/Sub, Vertex AI, Cloud Functions, GKE), AWS, Kubernetes (Helm), Docker, systemd, Nginx, CI/CD

Observability — New Relic, Sentry, Grafana, Redash, structured logging

Work History

Engineering Consultant — Rebel Foods (Aug 2025 — Current)

Built two greenfield AI products end-to-end for Rebel Foods’ platform team.

Internal Ops Chatbot (Feb 2026 — Current)

WhatsApp + dashboard AI assistant for ops staff to query inventory and Google Sheets.

• WhatsApp Web → Node bridge → FastAPI → CrewAI + Gemini. Pluggable ACTIVE_AGENT swaps agents without redeploy.
• 3 CrewAI agents on Gemini 2.5 Flash: Default (Manager + Sheets Specialist over Sheets/DuckDB SQL), Simple, Inventory (Spark API + multi-turn state for SKU/store resolution).
• Two-identity auth: org-restricted Google JWT + per-user OAuth for Sheets; tokens server-side only.
• Voice mode via LiveKit + Google STT/TTS worker reusing the typed pipeline.
• React/Vite dashboard, Alembic Postgres, Chroma RAG, DuckDB mirror of Sheets.
• Stack: Python, FastAPI, CrewAI, Gemini, Postgres, Chroma, DuckDB, Node.js, React, LiveKit, GCS.

IntelliCam — CV Compliance Platform (Aug 2025 — Jan 2026)

AI auditor for cloud-kitchen ops over in-store CCTV.

• Scaled on GKE to monitor 4,000 cameras (Helm, HPA, Prometheus/Grafana).
• Single-handedly built the LLM agent: watches all cameras of a restaurant and stitches a per-restaurant visual story per shift, flagging violations for auditors.
• Trained custom YOLOv8 models for apron and restaurant-equipment detection (Label Studio annotation).
• Built the auditor dashboard for reviewing AI-flagged events; react-konva ROI/zone canvas + equipment labelling.
• 3-service arch (MongoDB + GCS): React → FastAPI → Pub/Sub → Brain → Mongo.
• Brain pipeline (Prefect): YOLOv8 + ByteTrack → ReID (ResNet50/OSNet) PersonGallery → zone mapping → Gemini 2.5 Flash on Vertex AI.
• FastAPI: JWT auth, APScheduler audits, Shinobi-controlled RTSP recording.
• Stack: Python, FastAPI, MongoDB, GCS, Pub/Sub, YOLOv8, ByteTrack, ReID, OpenCV, Label Studio, Prefect, Vertex AI, Gemini, React, K8s, Helm, Prometheus, Grafana.

Freelancer — Agentic AI Hackathon (Mar 2025 — Jul 2025)

• Built an Agentic AI agent that watches, thinks, and acts in real time to safeguard crowds at large events — live video → adaptive evacuation strategies.
• Designed the agent’s perception/decision loop using Python, OpenCV, and YOLOv8 to decode video and trigger smart evacuation flows.
• Tech stack: Google Cloud, Vertex AI, GKE, Google ADK, Cloud Functions, Helm charts.

Entrepreneur — HireFast (Sep 2024 — Feb 2025)

• Built an MVP that parses resumes and job descriptions with LLMs to auto-match candidates on skills, experience, and relevance — cutting manual screening effort for early-stage hiring teams.
• Tech stack: LLMs, Python, Node.js.

Entrepreneur — Clean-Tech Startup (Apr 2024 — Aug 2024)

• Researched sustainable-tech and energy-efficiency opportunities; built a SaaS app for utility companies to track and forecast electricity prices.
• Owned the full lifecycle — research, product, build, launch.

Professional Development — Self-employed (Sep 2023 — Mar 2024)

• Completed the Machine Learning Specialization (DeepLearning.AI, Stanford via Coursera).
• Completed the Professional Certificate Program in Blockchain (IIT Kanpur).

Engineering Manager — Teachmint (Mar 2022 — Aug 2023)

Teachmint is an integrated school platform (Bengaluru, India).

• Managed a 15-member cross-functional engineering team (mobile, frontend, backend) building HRMS, Student Report Card, and Certificate Builder.
• Introduced rigorous estimation and agile practices — cut feature-release delays by 80%.
• Hired, coached, and promoted engineers and QAs; ran sprint planning, refinement, stand-ups, reviews, and retrospectives across the team.
• On the Engineering Effectiveness Group: authored tech-doc templates, set up the PR review process, maintained the tech backlog, and reviewed code and architecture for projects across the org.
• Tech stack: Python, Flask, Node.js, Express, React, Android, Kotlin, Jetpack Compose, Kafka, MongoDB, GCP, Grafana, Cloud Functions.

Lead Software Engineer, InApp — MoEngage (Nov 2019 — Mar 2022)

The InApp team owns the service that delivers campaigns to Android, iOS, and web through the MoEngage SDKs.

• Led a 4-engineer team designing and shipping InApp Presets, InApp Client, InApp + Flows integration, and AB Testing / Control Group features.
• Owned the InApp service handling 120k RPM at p99.
• Migrated deployments to Kubernetes — 5× faster time-to-deploy and 2× cost reduction.
• Set up observability across New Relic, Sentry, Grafana, and Redash.
• Tech stack: Python, Falcon, Java, MongoDB, Kafka, Redis, Kubernetes, AWS, Celery.

Platform Engineer — Houm.me (Apr 2019 — Oct 2019)

• Built a rule-based fraud-detection system that triggered captcha during registration based on session features.
• Developed and maintained 10+ Node.js / Python microservices (sails.js, Celery, Django).
• Fixed and improved data sync between server (CouchDB) and the user’s home server (PouchDB) using continuous websocket sync.
• Tech stack: Node.js, Express, CouchDB, Docker, Digital Ocean, WebSocket, Python, Celery.

Platform Engineer — Merak.ai (Aug 2018 — Mar 2019)

• Built a Node.js microservice architecture for REST APIs with a Falcon + Celery layer for ML services.
• Tech stack: Python, MongoDB, Node.js, jQuery.

Co-founder & CTO — Inayo (Jul 2015 — Mar 2017)

A personal-assistant app for people with diabetes — daily tracking of health vitals, digital logbook, AI coach, and personalised assistance (Mumbai).

• Designed a gamified app that gave customised diet and activity goals based on user demographics.
• Built a robust background-sync mechanism between the Android app and server for a seamless offline experience.
• Scaled to 500 MAU at peak.
• Tech stack: Python, Django, Bootstrap, MySQL, Android, EmberJS, AWS, Celery, Google Fit.

Associate Consultant — Virtusa (Jul 2011 — Jun 2015)

• Twitter Search Analytics — Designed a cube-based analytics platform that auto-fetched topic data and surfaced ergonomic insights (geo, language, device).
• Thomson Reuters (IMS) — Led a DevOps team of 6 overseeing production releases; resolved day-to-day issues spanning code bugs, data inconsistencies, and cluster health.
• Tech stack: Java, MySQL, HBase, Hadoop, Hive, Struts, Spring, Cloudera, PostgreSQL.

Education

Bachelor of Technology — Aerospace Engineering Indian Institute of Technology, Mumbai (Jul 2007 — Jul 2011)

Certifications

• Machine Learning Specialization — DeepLearning.AI, Stanford (Coursera), Jun 2024
• Professional Certificate Program in Blockchain — IIT Kanpur, Dec 2023