Happy Mittal

AI Researcher

Bengaluru, Karnataka, India7 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Large Language Models and multimodal AI.
PhD research in probabilistic graphical models.
Proven ability to translate research into production systems.

Stackforce AI infers this person is a Senior Applied Scientist specializing in AI and machine learning for e-commerce solutions.

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Skills

Core Skills

Large Language Models (llm)Machine LearningProbabilistic Graphical Models

Other Skills

PythonDeep LearningSum Product NetworksDeep Neural NetworksXML parsingDOM manipulationTensorFlowProgrammingStatistical Data AnalysisC++CJavaPyTorchProbabilistic ModelsGraphical Models

About

I am a Senior Applied Scientist at Amazon India, working on building and deploying Large Language Models (LLMs), LLM-based agents, and Vision-Language Models (VLMs) to solve real-world e-commerce problems at scale. I hold a PhD in Computer Science from IIT Delhi, where my research focused on probabilistic graphical models. My current work lies at the intersection of foundation models, intelligent agents, and multimodal AI, with a strong emphasis on translating research ideas into high-impact production systems.

Experience

7 yrs 2 mos

Total Experience

3 yrs 7 mos

Average Tenure

6 yrs 10 mos

Current Experience

Amazon

2 roles

Senior Applied Scientist

Promoted

Oct 2022 – Present · 3 yrs 7 mos

Large Language Models (LLM)PythonMachine LearningDeep Learning

Applied Scientist II

Jul 2019 – Oct 2022 · 3 yrs 3 mos

University of dortmund

Research Intern

Sep 2016 – Dec 2016 · 3 mos · Dortmund Area, Germany

I worked with Dr. Kristian Kersting and a PhD Candidate Alejendro Molina on using Sum Product
Networks (SPNs) as a classifier layer in Deep Neural Networks. We were able to show a one-one
correspondence between SPNs and traditional softmax classifiers

Sum Product NetworksDeep Neural NetworksProbabilistic Graphical Models