Headline

Data Scientist | Machine Learning Engineer | AI Developer| physics enthusiast

About

🚀 AI/ML Engineer | Physics + Data Science | Building Intelligent Systems I’m an AI/ML engineer with a strong foundation in physics and data science, focused on building production-ready machine learning systems that solve real-world problems in healthcare, sustainability, and enterprise AI. I combine scientific research with practical AI engineering — enabling data-driven solutions in complex domains like energy systems and materials science. 🔬 Research Experience: • Conducting Lithium-Ion battery research focused on performance optimization, thermal management, and failure prediction • Leading a KSCS&T-funded project on automated Li-ion battery recycling using machine learning for intelligent material classification and process optimization • Building computational models combining physics principles with ML for battery analysis and prediction 🔹 Key Projects: • Autonomous AI Data Scientist – End-to-end AutoML platform (data → deployment) • Healthcare RL System (OpenEnv) – AI-based patient triage optimization • AI Research Assistant – Automated paper analysis, summarization & gap detection • AlphaZero-style Chess AI – Reinforcement learning + MCTS 🔹 Core Skills: • Machine Learning, Deep Learning, Reinforcement Learning • MLOps, Model Deployment, AutoML, Drift Detection • FastAPI, Streamlit, Docker, Kubernetes • PyTorch, TensorFlow, Scikit-learn, XGBoost 🔹 What I Bring: • End-to-end ML system development (not just models) • Strong backend + deployment expertise • Research-driven mindset with real-world impact I’m actively seeking AI/ML Engineer, Data Scientist, and MLOps roles where I can build scalable intelligent systems and contribute to impactful projects. 📩 Open to opportunities, collaborations, and challenging problems.

Location

Mysore

Work experience

data analyst intern at Maincrafts Technology, Dec 2025 - Feb 2026 · 3 mos, Mysuru

Intern at Softnexis Technologies, Nov 2025 - Jan 2026 · 3 mos, Mysuru, Karnataka, India, Things I Worked On (Internship Work) Collected, cleaned, and preprocessed real-world datasets using Python Performed Exploratory Data Analysis (EDA) to identify trends, patterns, and outliers Used NumPy for numerical operations and array-based computations Applied Pandas for data manipulation, filtering, grouping, and aggregation Created insightful visualizations using Matplotlib and Seaborn Interpreted visual results to derive meaningful business insights Improved data quality by handling missing values and inconsistent data Strengthened problem-solving and analytical thinking through hands-on tasks Project Highlights (What the Projects Focused On) Analyzed structured datasets to understand data distribution and relationships Built visual dashboards (plots & charts) for clear data storytelling Identified key metrics and trends using statistical summaries Compared multiple features using correlation analysis and visual techniques Converted raw data into actionable insights through systematic analysis Followed a complete data analysis workflow: Data → Cleaning → EDA → Visualization → Insights

Data Analyst at Maincraft Technologies, Oct 2025 - Dec 2025 · 3 mos, • Automated SQL reporting pipelines, reducing manual workload by 30% and improving reporting efficiency by 25%. • Optimised complex SQL queries across 10,000+ records, cutting average query execution time significantly. • Delivered data-driven insights for cross-functional teams, facilitating evidence-based decision-making.

Education

Master of Business Administration - MBA, data science and analytics, Manipal University Jaipur

Master's degree, Physics, JSS SCIENCE AND TECHNOLOGY UNIVERSITY