Rishabh J.
Senior Data Scientist | AI & STEM Research Engineer | Educator
Experience
Independent Educator | Data Scientist
STEM-Based Mathematical Modeling and Symbolic Computation Engine
Developed a Python-based computational engine integrating core STEM principles to model and solve complex mathematical and physical systems
Applied real and complex analysis, linear algebra, ODE/PDE, abstract algebra and functional analysis for numerical computations
Combined SymPy, NumPy, and SciPy for multi-variable system solving and optimization
Implemented CVXPy-based linear programming and convex optimization techniques for engineering applications
Generated synthetic STEM datasets to train AI models, enhancing reasoning accuracy by 25%
Bridged pure mathematics and AI by embedding STEM-driven computation into data science workflows
Senior Data Scientist
Turing
- Fine-tuned GPT-based Large Language Models for multi-domain NLP tasks, improving coherence and factual consistency by 30%
- Designed and deployed Retrieval-Augmented Generation (RAG) pipelines, increasing real-time response accuracy by 35% and reducing manual query handling by 20%
- Integrated LangChain and Hugging Face models to automate external data retrieval, enhancing contextual response quality by 40%
- Applied prompt engineering and reinforcement learning from human feedback (RLHF) to optimize conversation relevance and consistency
- Refined supervised fine-tuning datasets through code rewrites and SFT cleanup, reducing training noise and improving model stability
- Implemented AWS Lambda for serverless AI task orchestration and S3 for data management efficiency
Data Scientist | Mathematics Educator
Advanced Mathematical Problem Generation for AI Training
- Created structured datasets of advanced Mathematics, Physics, and Statistics problems to improve LLM reasoning and evaluation benchmarks
- Designed graduate-level problems in Algebra, Calculus, Probability, Linear Algebra, and Mechanics using SymPy
- Automated dataset generation pipelines to support LLM fine-tuning and reasoning evaluation
- Strengthened AI model understanding of mathematical problem-solving and symbolic reasoning
Senior Technical Consultant
Crewscale
- Built and deployed ML models (Regression, KNN, Decision Trees) to analyze real estate market trends and predict customer behavior
- Preprocessed and integrated data from Google Analytics and other sources to enhance model reliability and accuracy
- Created interactive dashboards with Matplotlib and Plotly to visualize key performance metrics for clients
Senior Software Engineer
Nutanxt
- Led a Raman Spectroscopy-based ML project to detect impurities in edible oils, improving prediction accuracy by 20%
- Developed preprocessing pipelines using Pandas and NumPy to handle large-scale spectroscopy datasets
- Built classification and regression models in Scikit-learn for impurity prediction and chemical composition estimation
Independent Educator
Global STEM Teaching and Mentorship Program
- Taught Mathematics, Statistics, Physics, and Computer Science to international high school, undergraduate, and university-level students under A-Level, IB and AP curricula
- Delivered advanced instruction in Algebra, Calculus, Probability, Linear Algebra, Differential Equations, Mechanics, Thermodynamics, Electromagnetism and Modern Physics
- Conducted Python and Machine Learning sessions covering data structures, algorithms, and applied computing using NumPy, Pandas and Scikit-learn
- Designed structured lesson plans that integrated theoretical concepts with AI, data science, and real-world problem-solving
- Mentored over 400 students globally through one-on-one tutoring, online lectures, and collaborative STEM workshops
- Built strong analytical foundations and inspired global learners to connect mathematical and scientific reasoning with modern AI and computational thinking
Senior Systems Engineer
Infosys
- Automated data preprocessing pipelines in Python, including data validation, cleaning, and transformation
- Designed and maintained Apache Airflow DAGs for orchestrating ETL workflows and data quality checks
- Developed Python automation scripts for data extraction and batch processing across distributed systems
Summary
I am a Senior Data Scientist and AI Research Engineer with over 12 years of experience at the intersection of Artificial Intelligence, Large Language Models (LLMs), Prompt Engineering, and STEM-based research.
My expertise lies in developing, fine-tuning, and evaluating advanced AI systems using techniques such as Retrieval-Augmented Generation (RAG), Reinforcement Learning from Human Feedback (RLHF), and Supervised Fine-Tuning to enhance accuracy, reasoning, and contextual understanding.
Along with my AI and data science work, I have over 12 years of teaching experience in Mathematics, Statistics, Physics, and Computer Science. I have guided students across diverse academic levels through subjects like Algebra, Calculus, Probability, Linear Algebra, Data Analysis, and Machine Learning with Python.
This educational experience strengthens my ability to design high-quality datasets, assess model reasoning, and translate complex technical concepts into clear, structured frameworks. I am passionate about building intelligent, interpretable AI systems that combine analytical rigor with scientific reasoning—bridging the gap between human understanding and machine intelligence.
Languages
Education
Indian Institute of Science
Master of Technology · Mathematics · Bengaluru, India
Indian Institute of Technology, Bombay
Bachelor of Technology · ECE · Mumbai, India
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