CV

Data Scientist

Indian Institute of Technology Delhi

Physics-informed ML and deep learning on high-dimensional spatio-temporal ocean data for extreme marine heatwave event detection and forecasting.

• Designing ConvLSTM and temporal CNN architectures for spatiotemporal modelling on gridded ocean reanalysis data
• Physics-informed feature engineering — encoding domain knowledge of mixed layer dynamics and air-sea heat flux anomalies as model constraints
• Statistical characterisation of extreme event distributions before predictive modelling
• Evaluating model outputs against known physical drivers to ensure physical consistency alongside statistical accuracy

Associate Solution Leader — Machine Learning Engineer

Brane Enterprises Pvt. Ltd.

ML engineering within a 50-person team, building deep learning solutions for e-commerce and retail clients.

• Developed deep learning models (TensorFlow, PyTorch) for product price optimisation and customer segmentation — contributed to 15% increase in sales for e-commerce clients
• Built analytics pipelines using Tableau and Apache Superset — 10% improvement in sales forecast accuracy for retail clients
• Collaborated on model evaluation, feature engineering, and deployment workflows alongside senior engineers

Teaching Assistant

IIT Madras — MEMS Lab, Dept. of Metallurgical & Materials Engineering

Teaching Assistant for two courses under Prof. Ranjit Bauri.

• MM2010 Principles of Physical Metallurgy (Aug 2022 – Nov 2023): led weekly lab sessions for a batch of 70 students
• NOC24-MM14 Theory and Practice of Non-Destructive Testing (Dec 2023 – Mar 2024): assisted in course delivery and examinations

Technical Consultant

OSN Consulting & Associates

Technical and financial valuation of large-scale plant and machinery projects across manufacturing and infrastructure sectors.

• Conducted technical and financial valuations (INR 150–200 Cr range) supporting strategic procurement and investment decisions
• Developed rigorous cross-functional technical reports bridging engineering and finance teams

Assistant Engineer

Dynamic Intra-tech Pvt. Ltd.

Production management in steel bridge fabrication.

• Managed production team in steel bridge fabrication; optimised machining parameters through data-driven analysis of production records
• Achieved 9–10% improvement in production throughput

Student Member

IIT Madras — CDC-R (Career Development Cell, Research)

Supported research scholars at IIT Madras with career planning, industry connections, and professional development initiatives.

Delegate — Country of Niger

35th IMUN Conference

Represented the country of Niger on the topic of gender equality at the International Model United Nations conference.

MS by Research

Indian Institute of Technology Madras

Metallurgical and Materials Engineering

• Texture in Materials
• Modern Techniques of Material Characterization
• X-Ray Diffraction Techniques
• Physical Metallurgy
• Mechanical Behaviour of Materials
• Advanced Welding Techniques
• Aluminium Alloys and their Composites
• Sheet Metal Forming
• Thesis: Friction Stir Welding of Dissimilar AA6082-T6 and DP780 Steel Joints for Lightweight Automotive Applications — Guide: Prof. Ranjit Bauri
• Presented at THERMEC’23 International Conference, University of Technology Vienna, Austria
• 3rd place — Amalgam National Symposium, IIT Madras (2024)

Bachelor of Technology

BBDNITM — Dr. APJ Abdul Kalam Technical University

Mechanical Engineering

• Final year project: Automatic Kickstand Retrieval System in Bike to Prevent Accidents — used AISI 4130 Steel and Titanium Grade 5 alloy

GATE Scholarship — 94.2 Percentile

Government of India

Awarded GATE (Graduate Aptitude Test in Engineering) scholarship with 94.2 percentile score in Mechanical Engineering, enabling postgraduate study at IIT Madras.

3rd Place — Research Presentation, Amalgam National Symposium

IIT Madras

Secured 3rd place in research presentation at the Amalgam National Symposium 2, IIT Madras.

Top 10% — Google Analytics Workshop

IIT Madras

Finished among the top 10% of participants at the Google Analytics workshop held at IIT Madras.

Microstructure and Mechanical Properties of Friction Stir Welded AA6082 Aluminium Alloy and Dual-Phase 780 Steel Dissimilar Joints

Journal of Manufacturing Processes

1st author · Under review. Investigates FSW of AA6082-T6 and DP780 steel lap joints; correlates process parameters with microstructure, IMC formation, and mechanical performance using SEM, EBSD, XRD, and nano-indentation.

Microstructural Evolution and Corrosion Kinetics of X2 Zr-Nb Alloy in Simulated PWR and BWR Environments

ASTM STP Proceedings

2nd author · Accepted for publication. Studies dissolved oxygen effects on corrosion of Zr-Nb nuclear cladding in simulated reactor environments using TEM and spectroscopy. Collaboration with Oxford Nano Analysis Group.

PoroDet: A Python Package for Nano-porosity Detection in TEM Images

Journal of Open Source Software (JOSS)

Co-author · Submitted. Open-source Python package for automated segmentation of nano-porosities in Fresnel-contrast TEM images using U-Net CNN. Developed with Oxford Nano Analysis Group.

Comparative Performance of Classical and Deep Learning Architectures for Nano-porosity Detection in TEM Images

1st author · Under preparation. Benchmarks Random Forest, U-Net, and Vision Transformer (Trans-UNet) approaches for nano-porosity segmentation; validates with ROC-AUC, precision-recall, and confusion matrices.