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About

AI Research Engineer

I believe in the power of Artificial Intelligence to solve some of the world’s most pressing challenges. Today, my focus is on one of the most critical frontiers in technology: building responsible and secure AI. My goal is not just to build AI, but to build a future where technology empowers everyone and contributes to a more secure and equitable world.

DockerPythonGoogle CloudLinux
DockerPythonGoogle CloudLinux
Developer Community
PythonGoogle DevelopersAWSGoogle Map DeveloperDeepLearning.AICCAI
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2.5+
Years Experience

My Professional Journey

Over the past three years, my journey has been shaped by collaboration and curiosity. From engaging with vibrant developer communities to working alongside brilliant scientists in R&D departments, I’ve learned that innovation thrives at the intersection of diverse perspectives. Whether debugging code with fellow developers at midnight or brainstorming breakthrough solutions with research teams, each experience has reinforced a simple truth: the best ideas emerge when we learn together, challenge assumptions, and build on each other’s insights.

PresentNissan Motor Company

Gen AI Research Engineer at Renault Nissan Technology Business Centre - R&D (NISSAN)

✨ Contributed to confidential R&D initiatives focused on Generative AI and applied machine learning systems.
✨ Evaluated and collaborated with external startups on AI technologies aligned with internal research objectives.
✨ Integrated GenAI components into internal systems, including LLM-based workflows and retrieval-augmented generation (RAG) pipelines.
✨ Supported project coordination and technical leadership within cross-functional R&D teams.

2023-2024DRDO

Project Trainee at DRDO – Centre for Artificial Intelligence and Robotics

Government of India, Bengaluru, Karnataka

✨ Worked closely with AI scientists on applied research in computer vision for remote sensing and defence-oriented use cases.
✨ Designed and implemented an advanced object detection algorithm for SAR satellite imagery, achieving ~15% improvement in detection accuracy and ~20% reduction in false positives through model and pipeline optimization.
✨ Performed large-scale data annotation and labelling to support supervised training and evaluation workflows.
✨ Developed custom plugins for QGIS to support visualization and analysis of geospatial AI outputs.
✨ Integrated developed algorithms with internal analysis and visualization tools (HITACHI platform) for end-to-end validation .

2022Technocolabs Software Inc.

Machine Learning Engineer at Technocolabs Software Inc.

Indore, Madhya Pradesh

✨ Collaborated with cross-functional teams to design and deliver an end-to-end ML solution for acquisition likelihood prediction.
✨ Built and evaluated supervised ML models achieving ~91.5% accuracy through feature engineering and model optimization.
✨ Developed data pipelines for ETL, preprocessing, and feature extraction using Python and SQL.

2022-PresentClimate Change AI

Community Volunteer at Climate Change AI

Research project focused on Hurricane Prediction using AI and Machine Learning

✨ Contributing to a collaborative research initiative focused on hurricane prediction using machine learning and AI-based forecasting techniques.
✨ Collaborating with researchers and practitioners to apply AI techniques for climate and social impact use cases.