Krishan Singhal

Founder, CEO

Stealth

Jun 2026 - Current (4 months)

Founding Engineer, AI

freightmate Ai

Jun 2025 - May 2026 (1 year)

Freightmate is an AI logistics company. I built an end-to-end LLM evaluation system and integrated knowledge graphs into shipment assignment. This increased shipment-assignment accuracy from 93% to 99%.

Later, I worked as a forward-deployed engineer to build an AI system for HS-code classification and import-tariff calculation—a task requiring expertise comparable to that of a licensed US customs broker. It correctly solved all 20 of our hardest internally curated cases, including cases where competing tools failed.

Founder

ButterFlowai

Jan 2025 - May 2025 (5 months)

Solo founder. Led product vision, customer interactions, and development from concept to launch. Built an AI platform that let users generate, test, and deploy production-ready backend code from natural-language prompts, with visual tools for editing APIs, database schemas, and class designs.

Sr. Software Engineer

Aploris

May 2023 - Dec 2024 (1 year 8 months)

Built a PowerPoint AI agent for prominent consulting firms, that created new slides using each company's entire slide library. Worked across AI, backend, and frontend to deliver the product, and personally onboarded more than 100 customers using The Mom Test approach to understand their workflows and shape the product around their needs.

Software Engineer

Amazon

Oct 2022 - Mar 2023 (6 months)

- Built frontend for supplychain.amazon.com from scratch, enabling on-time launch of a customer-facing site
- Implemented API calls flow and react, redux state management for address-related CRUD operations

Computer AI Poker Player (Self Project)

Selfemployed

Jan 2022 - Mar 2022 (3 months)

- Built a poker bot outperforming humans, based on research by Noam Brown (currently at OpenAI) - GitHub
- Reviewed research, concepts related to computer poker player in the field of game theory

Software Engineer, Machine Learning

Jaguar Land Rover

Jul 2020 - Sep 2022 (2 years 3 months)

- Designed, optimized, and fine-tuned CNN architecture for spectrogram engine noise audio data using PyTorch
- Invented and patented a data processing technique to improve audio data quality, increasing F1-score from 82% to 93.6%
- Established MLOPs pipeline by integrating GCP and GitLab for automated training, deployment, and inference
- Ported model to C++, reducing inference compute requirements by 3x for mobile deployment

Intern

GE

May 2019 - Jul 2019 (3 months)

- Developed mathematical models to quantify noise from humidifiers caused by boiling water
- Enhanced heater efficiency, reducing cost by 8% and noise levels by 1 dB(A)

Research Intern, Robotics

Indian Institute of Technology Kanpur

May 2018 - Jul 2018 (3 months)

Developed position control algorithm to move objects on frictional surface. Engineered PID-based friction compensation mechanism, reducing displacement error by 80%. The project was done under guidance of Dr. Anindya Chatterjee (https://iitk.ac.in/new/anindya-chatterjee)

Engineering Lead - Formula-based Race Car Delivery

Team IITK Motorsports

Jan 2018 - Jan 2019 (1 year 1 month)

Led a 20-person student engineering team to deliver a race-ready car within a year. Redesigned the vehicle architecture from ground up, introduced multi-link suspension — breaking from usual practice of incremental updates

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Krishan Singhal

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