Tech Stack

AI Engineer•Data Analyst•Full Stack Developer
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Experience

Internships, research & project experience.

Data Analyst Intern

Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), India
May 2025 - July 2025
  • Maintained and enhanced the GIZ India Project Dashboard, ensuring accurate reporting across multiple sectors and regional programs.
  • Developed Microsoft Lists-based tracking solutions to improve project visibility, workflow efficiency, and reporting processes.
  • Collaborated with cross-functional teams on data analysis, dashboard troubleshooting, and knowledge management initiatives.
PythonPython
Power BIPower BI
Data AnalyticsData Analytics
SQLSQL
GitGit

Frontend Development Engineering Intern

BrainMint
Feb 2025 - July 2025
  • Developed reusable React.js components and interactive dashboards for real-time data visualization.
  • Optimized frontend performance and reduced application load times through efficient rendering strategies.
  • Collaborated with backend teams to integrate telemetry systems and mission-planning workflows.
ReactReact
JavaScriptJavaScript
CSSCSS
Node.jsNode.js
GitGit

Solaris Digital Twin Project

SRM Institute of Technology
Jan 2025 - May 2025
  • Led the development of a real-time digital twin simulation of a self-landing rocket using Unity and Arduino.
  • Integrated live sensor telemetry using ultrasonic sensors and serial communication pipelines.
  • Implemented autonomous landing systems using Unity physics simulation and C# scripting.
UnityUnity
ArduinoArduino
PythonPython
ReactReact
Node.jsNode.js

AI-Based Drug Recommendation System Using Multi-Omics Data for Precision Medicine

Research Project
Jan 2026 - May 2026
  • Developed an AI-driven precision medicine framework that integrates multi-omics biological data to predict drug effectiveness and support personalized treatment selection.
  • Built a LightGBM-based machine learning pipeline using LINCS L1000 gene expression data and GDSC drug response datasets to predict IC50 values and rank candidate therapies.
  • Implemented SHAP-based explainability and an interactive Streamlit dashboard to visualize drug recommendations, model predictions, and gene-level feature importance for interpretable healthcare decision support.
PythonPython
Machine LearningMachine Learning
Artificial IntelligenceArtificial Intelligence
PandasPandas
Data AnalyticsData Analytics

Projects

Quick hits from my 69+ build lists.

LET'S WORK
TOGETHER

Contact Form

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