ML/AI systems · product engineering · delivery at scale

Technical leader turning ambitious AI programs into reliable product systems.

I’m Shivam Kumar. I lead cross-functional teams building RLHF/SFT data programs, multimodal evaluation tooling, and operational systems that make machine learning work at production scale.

300+ Engineers led across high-throughput ML delivery programs
23 Multimodal models benchmarked across 705 evaluation samples
1 International patent from production computer-vision work
30× Faster preview workflows shipped through applied ML automation
LLMs · RLHF/SFT · Agentic workflows Computer vision · evaluation systems Full-stack delivery · DevOps
Overview

About

Technical leader building ML/AI systems and scaling teams. I’ve led programs spanning hundreds of engineers, contributed to multi-million dollar outcomes, and stayed hands-on across LLMs, computer vision, and product engineering.

What I’m best at

Bridging ambitious model work with disciplined delivery, tooling, and operational scale.

I work best where product ambition and execution complexity meet: model evaluation, training-data quality, platform tooling, process design, and the systems that help teams ship reliably at speed.

LLM delivery Evaluation tooling Computer vision Systems thinking

Focus areas

RLHF/SFT data programs, multimodal evaluation, QA automation, and end-to-end systems that support product-grade ML delivery.

LLMs RLHF/SFT Computer Vision System architecture

Education

B.Tech (Computer Science), IIT Goa (2020) · CPI: 9.22/10.0

Algorithms ML foundations Engineering

Leadership

Built and managed teams from small pods to 300+ contributors, with experience across hiring, QA systems, performance tracking, and cross-functional operating rhythm.

Operating style

Structured, hands-on, and product-oriented. I like systems that are measurable, teams that can move quickly, and tooling that reduces coordination overhead without lowering quality.

Career

Experience

Roles where I combined technical depth, systems thinking, and team leadership to produce measurable outcomes.

Multiple projects

Web3 Developer / Founder

Apr 2022 – Oct 2022
Solana, NEAR · Hawksight, YAKU Corp., Near Dragon Nation, JUNO Labs

Built consumer-facing blockchain products and tooling across Solana and NEAR using Rust and TypeScript.

  • Shipped NFT staking, raffle, and auction products with production-ready smart-contract and frontend flows.
  • Engineered an early Discord bot for NFT holders on NEAR and wallet authentication inside Unity experiences.
  • Created Mars Minter, an open-source minting stack with CLI tools and reusable frontend templates.
Rust TypeScript Solana NEAR Web3
EagleView

Software Engineer I

Mar 2021 – Apr 2022
Bengaluru, India

Applied computer vision and machine learning to production geospatial workflows, shipping systems that improved both coverage and operational efficiency.

  • Developed an ML model for digital surface model generation from images, resulting in a published patent.
  • Automated around 80% of solar report alignment and built a 2D preview algorithm that cut preview time by 30×.
  • Architected scalable image collection and preprocessing pipelines in Python on GCP for large-scale training.
Python PyTorch OpenCV GCP Computer Vision
Learngram

AI Engineer + Full Stack Developer

Apr 2020 – Mar 2021
Bengaluru, India

Built AI-enabled ed-tech experiences spanning voice models, mobile apps, and backend systems.

  • Developed an AI voice cloning model using NLP to support personalized learning workflows.
  • Shipped a React Native app and Python backend with video calls, assignments, and calendar integration.
React Native Python NLP Full-stack
NTU

Research Intern

Summer 2019
Singapore · Supervisor: Prof. Thambipillai Srikanthan

Built an ML-based binary vulnerability detection engine using hierarchical filtering and locality-sensitive hashing, achieving more than 90% detection accuracy.

Security ML Research
Recognition

Patents

Selected patent and academic highlights.

DSM Reconstruction using Artificial Intelligence

EagleView Technologies · International Patent: WO 2023/178162 A1 · Sep 2023

Co-invented an ML system generating 3D digital surface models from images using computer vision, reducing reliance on LiDAR and enabling operations in regions without dependable elevation data.

Computer Vision 3D reconstruction ML systems

Scholastic highlights

Technical Excellence Award (IIT Goa, 2018–2019) · JEE Advanced AIR 3120 (2016)

Awards Academics
Artifacts

Projects

A few public builds and technical artifacts.

Mars Minter

Open-source NFT solution on NEAR Protocol · Mar 2022

CLI tools and frontend templates to accelerate NFT minting launches on NEAR.

NEAR TypeScript CLI Open source

VLMBench

Multi-modal model evaluation · 23 models · 705 samples

Evaluation tooling to compare multimodal model predictions against ground truth using cloud infrastructure and LLM APIs.

GCP OpenAI / Gemini Evaluation
Capabilities

Skills

Core technical stack and delivery range.

Programming

Python TypeScript JavaScript Rust Solidity

Frameworks & libraries

React React Native Node.js PyTorch OpenCV

ML / AI

LLMs Computer Vision NLP Multi-modal models Agentic systems OpenAI API Gemini API TensorFlow

Cloud, DevOps, Web3

GCP AWS Firebase Docker CI/CD Nginx Solana NEAR

Leadership & delivery

Agile/Scrum, performance tracking, QA systems, system architecture, and cross-functional team leadership.

Contact

Let’s talk

The best way to reach me is email. LinkedIn and GitHub are linked below as well.

Start here

Technical leadership, ML systems, product execution, or evaluation infrastructure.

If you want to discuss AI delivery at scale, product-grade ML systems, or a collaboration, email is the cleanest way to start the conversation.

Location India · Remote-first collaboration
Note Phone number intentionally omitted from the website.