Jui Pradhan

Software Engineer

Mumbai, Maharashtra, India3 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Machine Learning and AI solutions.
Proven track record in research and development.
Strong leadership in tech community initiatives.

Stackforce AI infers this person is a Software Engineering expert with a focus on AI and Data Science.

Contact

Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Large Language Models (llm)Code GenerationSoftware EngineeringNatural Language Processing (nlp)Model TrainingData ScienceReinforcement LearningLeadershipOrganizational LeadershipOpen-source DevelopmentSoftware DevelopmentFinancial Modeling

Other Skills

Model OptimizationAI AgentsResearch and Development (R&D)JavaPythonResearch SkillsAutomatic program repairFAISSInformation RetrievalSearchPandasDebianPython (Programming Language)NumPyRobotics

About

I have always known I wanted to work in Tech because I loved the process of problem solving and constantly stretching myself to learn and grow. Feel free to reach out to me on LinkedIn.

Experience

Google

3 roles

Software Engineer II

Jul 2025 – Present · 8 mos

Machine LearningModel OptimizationAI AgentsArtificial Intelligence (AI)

Software Engineer II

Mar 2025 – Jun 2025 · 3 mos

Artificial Intelligence (AI)AI Agents

Software Engineer

Jul 2023 – Mar 2025 · 1 yr 8 mos

► Building revolutionary software systems at the intersection of data analytics and generative AI.
► Researching and developing new solutions using LLMs for data storytelling with intense focus on delivering high quality solutions.
► Researching and building state-of-the-art automatic evaluation workflows to significantly reduce human effort of manually evaluating GenAI solutions.

Large Language Models (LLM)Artificial Intelligence (AI)Software EngineeringResearch and Development (R&D)Java

Microsoft

Research Intern

Jan 2023 – Jul 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

► Worked at the intersection of automatic program repair and code generation using GenAI
► Researched and developed state-of-the-art `code revision proposer` technique to resolve code quality issues using LLMs
► Significantly reduced human code review efforts by implementing a `code revision ranker` model
► Publication accepted in ACM International Conference on the Foundations of Software Engineering (FSE) 2024

Large Language Models (LLM)Code GenerationPythonSoftware EngineeringResearch SkillsAutomatic program repair

Apple

Machine Learning Intern

Jul 2022 – Dec 2022 · 5 mos · On-site

► Retrained BERT, RoBERTa, XLM-RoBERTa on processed Apple data to get accurate embeddings for search queries.
► Developed a fast clustering algorithm using FAISS library and cosine similarity to reduce the retrieval time to under 50ms per query.
► Accurate top-5 search recommendations improved the accuracy of the subsequent ML classification model by 6%

Natural Language Processing (NLP)Model TrainingPythonFAISSInformation RetrievalSearch

Adobe

Research Intern

May 2022 – Jul 2022 · 2 mos · Noida, Uttar Pradesh, India

Adobe analytics dashboard: Built a structural model to analyse the market structure of brands by leveraging online consumer search data and aggregate market share data.

Data ScienceMachine LearningPythonResearch SkillsPandas

Microsoft

Independent Developer

Apr 2021 – Aug 2021 · 4 mos · New York, United States

► Remodelled and improved the current prototype of the Vowpal Wabbit Estimator Library to convert it to a usable python package and integrate it with the Azure Machine Learning pipeline.
► Added new estimators for off-policy evaluation from recent research publications.

Reinforcement LearningSoftware EngineeringResearch and Development (R&D)

Bits pilani, hyderabad campus

Teaching Assistant for Artificial Intelligence

Jan 2021 – May 2021 · 4 mos · Hyderabad, Telangana, India

Designed and evaluated course assignments, prepared viva questions and evaluated project demos.

Acm - bphc chapter

Chair

Oct 2020 – Aug 2021 · 10 mos

► Organised events such as panel discussions, research paper presentations and workshops that helped increase open source contributions and helped inculcate research aptitude.
► Leadership position: Chair

LeadershipOrganizational LeadershipResearch SkillsArtificial Intelligence (AI)