S Choudhary
@schoudhary
Senior Data Scientist specializing in LLM engineering, RAG, and ML model evaluation.
What I'm looking for
I am a Senior Data Scientist with 5+ years of applied data science experience building and deploying ML and DL models across domains such as education, e-commerce, and healthcare. I specialize in LLM engineering, RAG pipelines, vector databases, prompt engineering, and structured evaluation to measure hallucination, tool use, and reasoning robustness.
In my current role I design stress-testing frameworks for Gemini, GPT and Claude, develop agent-based IoT simulation environments, and contribute to RLHF workflows to improve model alignment. I have built predictive and credit-risk models, implemented ensemble techniques, and engineered datasets that improved model generalization and evaluation depth.
I work hands-on with Python, SQL, PyTorch, TensorFlow, Transformers, and AWS (EC2, SageMaker) to deliver production-ready models and evaluation pipelines. I prioritize rigorous evaluation, interpretable insights, and practical deployments that drive data-driven decision making.
Experience
Work history, roles, and key accomplishments
Senior Data Scientist
Highbrow Technology Inc.
May 2024 - Present (2 years 1 month)
Designed and executed LLM stress-testing and evaluation frameworks, built RAG pipelines and agent-based IoT simulations to benchmark grounding, reasoning, and tool-use, and contributed to RLHF workflows to improve alignment.
Data Scientist
Fractal Analytics Pvt Ltd
Feb 2024 - Apr 2024 (2 months)
Applied regression models to optimize ROI in Market Mix Modeling projects and performed SQL-based data extraction to support strategic marketing decisions.
Data Scientist
Schoollog
Aug 2022 - Jan 2024 (1 year 5 months)
Developed and deployed predictive models to identify at-risk students, conducted EDA and visualization of student data, and delivered actionable insights to improve intervention strategies.
Associate Data Scientist
Schoollog
Jan 2018 - Feb 2020 (2 years 1 month)
Built and validated credit risk models using logistic regression, decision trees, random forests and ensemble techniques, producing an additive scoring model with a KS of 51.5% and enabling data-driven decisions.
Education
Degrees, certifications, and relevant coursework
Sobhasaria Group Of Institutions
Master of Technology, Computer Science
2020 - 2022
Grade: 9.93 CGPA
Completed M.Tech in Computer Science with a CGPA of 9.93, focusing on advanced topics in machine learning and data science.
Sobhasaria Group Of Institutions
Bachelor of Technology, Computer Science
Grade: 76.02%
Completed B.Tech in Computer Science with a percentage of 76.02, covering core computer science and software engineering subjects.
Bhartiya Sr. Sec. School
Intermediate, Mathematics
Grade: 73.20%
Completed Intermediate with Mathematics as a major subject, achieving 73.20% marks.
Bhartiya Sr. Sec. School
Matriculation, Mathematics
Grade: 86.67%
Completed Matriculation with Mathematics, securing 86.67% marks.
Availability
Location
Authorized to work in
Job categories
Skills
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