Headline

Lead AI Engineer @ AIRA Matrix | Machine Learning, Deep Learning, Kaggle Competition Expert

About

Lead AI Engineer at AIRA Matrix, contributing to machine learning innovation and deployment in healthcare and life sciences domains. Developed scalable ML pipelines for tabular, NLP, LLM, Agentic AI, Gen AI and computer vision data, including a fully automated drug discovery AutoML platform, improving reproducibility and accelerating research timelines. Engineered multimodal ML solutions combining molecular descriptors, achieving significant accuracy improvements. A Kaggle Expert with two silver medals, recognized in the top 2% globally for multi-target regression challenges. Holds an MSc in Data Science from Liverpool John Moores University. Technical expertise spans tabular ML, NLP, and computer vision, with a strong focus on developing and deploying reliable, scalable AI solutions. Presented research at EUROTOX24, showcasing the application of machine learning in drug development and toxicity prediction.

Location

Pune District

AI stack

antigravity

claude

cursor

Work experience

Lead AI Engineer at Aira Matrix, Apr 2026 - Present · 4 mos, Hybrid

Artificial Intelligence Engineer at Aira Matrix, Aug 2022 - Apr 2026 · 3 yrs 9 mos, On-site, LLM, Agentic AI and AI > Designed & deployed scalable agent pipelines across image, text, and computer vision data, accelerating pathological workflow to generate report after diagnosis by 30%. Machine Learning Innovation > Designed & deployed scalable ML pipelines across tabular, NLP, and computer vision data, improving reproducibility and accelerating model delivery timelines by 30%. > Developed an AutoML pipeline for drug discovery — automated feature extraction, model selection, and hyperparameter optimization, enabling zero-touch target prediction from compound input. > Engineered multimodal ML solutions combining molecular descriptors (RDKit, Mordred, graph-based features) — boosting model accuracy by 25% over baselines. Deployment, DL & MLOps > Optimized production APIs with FastAPI + Docker + CI/CD, cutting inference time by 30% and ensuring seamless integration into client platforms. > Led deployment of U-Net based segmentation models for EoE biopsy slides; integrated mathematical scoring (EoEHSS), improving diagnostic reproducibility and enabling clinical adoption. Research & Impact > Presented work at EUROTOX24 (Copenhagen); authored 3 abstracts; co-developed paper (under review) on AI-based reduction of animal usage in toxicology research. > Contributed to both research innovation and production ML, bridging scientific rigor with measurable business and clinical impact.

Data Science Intern at DT Engineering Group, Jun 2022 - Aug 2022 · 3 mos, United Kingdom, > Built ML models to predict crane maintenance timelines for Jaguar Land Rover systems, increasing preventative maintenance accuracy by 40%. > Applied survival analysis (Cox PH, Kaplan-Meier) and regression pipelines (XGBoost, Scikit-Learn), leading to 25% cost savings in scheduled servicing. > Automated ETL workflows (Pandas + SQL), reducing manual preprocessing effort by 40%. > Delivered explainability reports (feature importance, interpretability dashboards) to engineering teams, improving trust in AI outputs. > Presented results to senior stakeholders, strengthening technical communication and cross-functional collaboration.

Data Science Intern at NeuralVerse Inc, Jun 2022 - Aug 2022 · 3 mos, India, > Developed cervical cancer prediction models using supervised learning, achieving 87% accuracy on unseen patient data. > Built anomaly detection systems for healthcare datasets, increasing detection rate by 25%. > Applied statistical modeling and exploratory data analysis to clinical trial datasets, extracting trends that informed decision-making. > Enhanced data pipelines and testing workflows to support reliable ML experimentation.

Technology Intern at Bright Network, Jun 2022 - Jun 2022 · 1 mo, United Kingdom, > Completed a 3-day technology program with skill sessions in networking, commercial awareness, and presentation skills. > Built a path-finding algorithm (Python) as part of an Amazon work sample project, demonstrating problem-solving and algorithmic thinking.

Education

Master of Science - MS, Data Science, Liverpool John Moores University

Pre-Masters in Engineering and computing, Engineering, Liverpool John Moores University