Himank Sehgal

AI Researcher

Chandigarh, India4 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed multimodal AI systems achieving 91% accuracy.
Authored research papers and filed patents in ML.
Expert in merging AI with product strategy.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Fintech and Food-Tech industries.

Contact

Skills

Core Skills

Machine LearningGenerative AiData Science

Other Skills

Problem SolvingCritical ThinkingAnalytical SkillsPython (Programming Language)Computer VisionPythonData ProcessingExploratory Data AnalysisCreativity and InnovationData AnalysisResearchLeadershipManagementFundraisingElectrical Engineering

About

I'm a Machine Learning Engineer who's spent the last couple years building AI systems in fintech and food-tech. My work has ranged from computer vision stuff to GenAI applications, and I've even managed to get some research papers and patents out of it. 🚀 Honestly, what gets me most excited is seeing how AI and product strategy come together. When I actually understand what users need and what business problems we're solving, I end up building way better ML systems. And having the technical background helps me figure out what's realistic to build with AI versus what's just hype. It's that sweet spot that really motivates me. 💡 Outside of work, I'm usually buried in a book 📚 or binge-watching stand-up specials 😄. Good storytelling just hits different, you know? Hit me up if you want to talk about AI, product strategy, what you're reading lately, or whether that new Netflix comedy special was actually worth the watch. I'm always down to chat! ✨

Experience

4 yrs 9 mos

Total Experience

1 yr 4 mos

Average Tenure

1 mo

Current Experience

Microsoft

Applied Scientist

Apr 2026 – Present · 1 mo · Bengaluru

Zomato

Machine Learning Engineer

Jan 2025 – Sep 2025 · 8 mos · On-site

Developed a multimodal AI pipeline integrating computer vision and LLMs for automated product verification, achieving 91% accuracy.
Created a GenAI content enrichment system that processed over 1.5 million operations, reducing costs by 50%.
Designed a Vision Transformer-based image deduplication system, enhancing accuracy from 90% to 95% and minimizing manual effort by 80%.

Problem SolvingCritical ThinkingAnalytical SkillsGenerative AIPython (Programming Language)Machine Learning

Mastercard ai garage

Data Scientist

Jun 2023 – Jan 2025 · 1 yr 7 mos · Gurugram, Haryana, India

Engineered velocity-based features and machine learning models for transaction dispute prediction, enhancing precision by 2.5x.
Authored two research papers and filed three patents in areas such as graph machine learning and fraud detection.
Led AI research initiatives focused on advanced machine learning techniques tailored for financial services applications.

Exploratory Data AnalysisData ScienceAnalytical SkillsCreativity and InnovationMachine Learning

American express

Data Analyst Intern

May 2022 – Jul 2022 · 2 mos · Gurugram, Haryana, India · Remote

Skit.ai

Machine Learning Intern

Mar 2022 – May 2022 · 2 mos · India

Onward assist

Deep Learning Intern

Jul 2021 – Dec 2021 · 5 mos · India

The sparks foundation

Computer Vision Intern

May 2021 – May 2021 · 0 mo

Data science group, iit roorkee

Member

Apr 2021 – Jul 2023 · 2 yrs 3 mos · India

Data Science Group, IIT Roorkee is a student organization, part of the umbrella organization Software Development Section that aims to work on innovative open source projects in the domain of Machine Learning, Deep Learning & Reinforcement Learning, bridging the gap between research and industry.

LeadershipMachine Learning

Onrec, iit r

Joint Secretary

Apr 2021 – Jul 2023 · 2 yrs 3 mos · India

Co-led a dynamic team of over 30 members, enhancing content production workflows across various verticals.
Managed comprehensive podcast operations, delivering 10+ hours of engaging content with 24K+ views and 350K+ impressions.
Fostered collaboration with college administration and external partners to secure essential resources for production initiatives.

Indraprastha institute of information technology, delhi

Undergraduate Research Intern

Apr 2021 – Nov 2021 · 7 mos · India

Performing skeleton detection by using a novel idea of shape info which takes into account color distance and spatial distance of any point from its nearest skeleton pixel
Performed experiments using architectures like UNet, PSPNet , FPN along with modifying loss function to give more weightage to skeleton pixels , achieving an F1 score of 0.75 and Boundary F1 score of 0.81