Open to opportunities

Jyotirmoy Singh

@jyotirmoysingh17

I'm an AI engineer, available immediately as a remote contractor for teams building in AI, backend systems, or agentic infrastructure.

India

Message

What I'm looking for

I’m looking for a team where I can build reliable AI agents and orchestration systems end-to-end—shipping production impact, measuring quality, and iterating fast with strong engineering discipline.

I'm an AI engineer and founder who's shipped production systems at Google and built a full LLM stack from scratch. At Google, I took GKE Backup test coverage from 0% to 42% in Go, three weeks ahead of schedule. At Jovalent, I built an active-learning OCR pipeline at 98% accuracy and a conversational invoice agent handling real financial data. My current thesis formalizes multi-agent orchestration in LangGraph; the same problem most AI startups are actively trying to solve. I'm available immediately as a remote contractor for teams building in AI, backend systems, or agentic infrastructure.

Experience

Work history, roles, and key accomplishments

Current

Founder & CEO

Current

Jovalent

Aug 2025 - Present (10 months)

Built the full AI stack for Jovalent, including an active-learning OCR pipeline (98% field-level accuracy) and a conversational invoice agent (96%). Integrated Stripe Connect, QuickBooks, and TaxBandits APIs with async webhooks and developed a confidence-scoring system with HITL fallback to keep production error rates under 1%.

AI Invoice Agents HITL Fallback TaxBandits API Webhooks

Software Engineering Intern

Google Cloud

May 2025 - Aug 2025 (3 months)

Built the integration test suite for 7 asynchronous schedulers in GKE Backup, increasing coverage from 0% to 42% using Go and gRPC. Identified 27+ critical bugs before production rollout and delivered 3 weeks early by replacing flaky async test patterns with a reusable polling mechanism and custom API clients.

Go gRPC Integration Testing GKE Backup Polling Mechanisms

Research Lead

BITS Pilani x Impactsure

Aug 2024 - Dec 2024 (4 months)

Led a team of 4 engineers on a $150K+ funded project building compact small language models (SLMs) for low-latency deployment at a financial services firm. Designed Rail-Only architectures that reduced training costs by 20% and infrastructure requirements by 30% versus standard transformer fine-tuning.

Language Models Rail Only Architectures Team Leadership

Education

Degrees, certifications, and relevant coursework

Birla Institute of Technology and Science, Pilani

BE (Hons.), Computer Science

2021 - 2026

Grade: GPA: 8.6/10

Activities and societies: Thesis (Fall 2025–Spring 2026): 'Multi-Agent AI Orchestration: The System-3/0 Blueprint'—built a domain-agnostic orchestration framework with System-3 meta-controller and System-0 constrained-decoding safety envelope; proved 5 formal results.

BE (Hons.) in Computer Science at BITS Pilani (09/2021–07/2026), with thesis work conducted under Prof. Anand Rao (Carnegie Mellon University).