---
title: "Monish Kumar V R - Principal Engineer - AI in India | Tal"
description: "Meet Monish Kumar V R, Building MetalCloud | NowPurchase | IIT KGP | PSG Tech | Aspiring AI Engineer based in India. AI stack includes antigravity, codex, and opencode. Explore public work links including github."
image: "https://tal.club/meet/monish-kumar-v-r/share-image"
---

# Monish Kumar V R on Tal

## Headline

Building MetalCloud \| NowPurchase \| IIT KGP \| PSG Tech \| Aspiring AI Engineer

## About

I’m an engineer and researcher interested in AI with 4\.5\+ years of experience turning complex problems into deployable, scalable solutions across computer vision and mathematical optimizationMy journey started in metallurgical engineering, where I built optimization algorithms for blast furnaces during my master’s at IIT Kharagpur\. That early exposure to physical systems grounded how I approach problem\-solving—breaking things down to first principles, questioning assumptions, and rebuilding solutions from the ground up\. It’s a mindset I’ve carried with me across every domain I’ve worked in\. Since then, I’ve built mathematical models for industrial foundries, moved into product management to ensure R&;D efforts align with real user needs, and led data teams to set up testing frameworks, feedback loops, and production\-grade deployments\. I've developed edge\-deployed computer vision systems in Nvidia Jetson devices\(YOLO, ONNX, OpenCV, TensorRT\)for real\-time anomaly detection and built LLM\-powered interfaces\(LangChain, FastAPI\) to make industrial data more accessible\. Currently focusing on video analytics for manufacturing to ensure SOP adherence and quality controlI thrive in ambiguous spaces, enjoy learning new systems fast, and care deeply about turning ideas into useful, reliable products, always starting from first principles\.

## Location

India

## AI stack

antigravity

codex

opencode

## Work experience

Principal Engineer \- AI at NowPurchase, Apr 2026 \- Present · 5 mos, • Owned the complete edge AI pipeline: RTSP ingest → TensorRT/DeepStream inference → tracking → event state\-machines → APIs → dashboards; 7\+ models shipped to customer foundry sites running 24/7 in network\-isolated environments\. • Built repeatable model onboarding workflow: PyTorch → ONNX export with compatibility validation → TensorRT INT8/FP16 engine builds → device\-side regression benchmarks tracking latency, FPS, and accuracy across Jetson hardware variants\. • Designed evaluation harnesses for model precision/recall, temporal event accuracy, false\-trigger rate, and edge latency under continuous\-stream conditions; established false\-positive budgets and human\-in\-loop validation gates for production reliability\. • Integrated video\-derived events with shift, operator, and process telemetry to produce structured operational intelligence — multimodal signal fusion grounding unstructured video to quantitative process KPIs\. • Productized quality/process ML models from spectrometer chemistry and operations data: accuracy from 75% → 95%; implemented data drift monitoring and automated retraining triggers\. • Built charge\-mix MILP optimizer \(PuLP/Pyomo\) delivering 2–5% melt\-cost savings; multi\-stage production planning optimizer improving OTIF and unlocking 5–8% effective capacity\.

Principal Engineer \- Product Development & Research at NowPurchase, Apr 2025 \- Apr 2026 · 1 yr 1 mo, Kolkata, West Bengal, India, Led the design, development, and deployment of real\-time computer vision systems for anomaly detection in industrial foundries\. Built and optimized deep learning models using YOLO and OpenCV, and deployed them on Raspberry Pi edge devices using ONNX Runtime, FastAPI, and Docker for live video inference\. Developed end\-to\-end video intelligence pipelines integrated with RTSP camera feeds, enabling detection of hidden process inefficiencies and reducing downtime by 7–10%\. Collaborated cross\-functionally with product and data teams to translate operational bottlenecks into deployable CV solutions aligned with business needs\.

Lead Engineering Designer at NowPurchase, Apr 2023 \- Mar 2025 · 2 yrs, Kolkata, West Bengal, India, At NowPurchase, I was tasked with leading the growth and development of MetalCloud, a SaaS platform aimed at solving core operational challenges for foundries\. To drive product adoption and impact, I designed and deployed ML models to predict casting properties with 95% accuracy, built robust data pipelines, and introduced a shadow testing framework for safe model deployment\. I also defined and tracked key engagement metrics using user behavior and interaction data, which helped improve product recommendation accuracy from 75% to 95% and resolve 15% of bottlenecks in the platform\. Collaborating cross\-functionally with product, sales, and engineering, I ensured platform growth aligned with business goals while providing data\-driven insights that supported both product development and sales strategy\.

Metallurgical Quality Control at Bharat Forge Ltd, Jun 2018 \- Jun 2019 · 1 yr 1 mo, Pune District, Maharashtra, India, • Optimized controlled cooling process for hot forging of gear part• Completed a project on designing parameters of controlled cooling conveyorfor new forging press line through data driven modelling• Validation of controlled cooling process parameters, Raw material inspection,Material characterization during New Product Development of steel andtitanium components• Preparation of PPAP reports and audit reports

## Education

Master of Technology \- MTech, Metallurgucal & Materials Engineering, Indian Institute of Technology, Kharagpur

Bachelor of Engineering \- BE, Metallurgical Engineering, PSG College of Technology

## Public links

- github: https://github\.com/Monishkumarvr

[View the original profile](https://tal.club/meet/monish-kumar-v-r)

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