About
Data Scientist and AI/ML Engineer with hands-on experience in machine learning, generative AI, and scalable data pipelines on datasets exceeding 2 million records. Proficient in Python, PySpark, and SQL; projects span predictive modeling, multi-agent RAG systems, LangGraph orchestration, SHAP explainability, and real-time inference APIs.
Experience3
AI Systems Evaluation Intern
Jul 2026 — Oct 2026AirDawg Labs (Caudal AI Labs Pvt Ltd) · Internship · remote
Created and validated 18+ SWE-bench-style and Terminal-Bench-style tasks for evaluating LLM coding agents. Authored oracle solutions and automated verifier logic for accurate scoring of model outputs. Improved task reliability through iterative review cycles and refined evaluation methodology for enterprise LLM systems.
- Created and validated 18+ SWE-bench-style and Terminal-Bench-style tasks.
- Improved task reliability through iterative review cycles.
Data Science Intern
Jan 2026 — Apr 2026Zaalima Development Pvt. Ltd. · Internship · Remote
Led end-to-end ML workflows on 2M+ records and designed 12+ feature engineering transformations. Tuned models using GridSearchCV, achieving a significant reduction in MAE. Built an automated ETL pipeline that drastically cut manual data preparation time.
- Improved MAE from 15.2 to 8.7 on a 200K test set (43% reduction).
- Cut manual data prep from 6 hours to 30 minutes (92% efficiency gain).
AI-ML Virtual Intern
Jun 2025 — Sep 2025Google (via AICTE & EduSkills Foundation) · Internship · remote
Designed CNN and RNN models in TensorFlow/Keras, achieving high accuracy in image classification and sequence recall. Optimized models through hyperparameter tuning, significantly improving F1-score.
- CNN reached 94% image-classification accuracy.
- Improved F1-score from 0.86 to 0.91.
Projects3
NexusAI — Multi-Agent RAG Enterprise Knowledge Platform
Built a full RAG pipeline for various document types, implementing a multi-agent system with LLM-based conditional routing.
Open on github.com- Python
- FastAPI
- Next.js 15
- PostgreSQL
- Qdrant
- AWS S3
- Gemini 2.5 Flash
- Docker
FactoryGuard AI — Predictive Maintenance API
Developed a production-ready ML REST API for real-time equipment failure risk scoring, with metrics for performance monitoring.
Open on github.com- Python
- Flask
- SHAP
- Docker
- GitHub Actions
- Scikit-learn
- Prometheus
SparkScale Churn — Distributed Churn Prediction
Implemented a distributed ML pipeline on IBM Telco Churn records, achieving significant improvements in model performance.
Open on github.com- Python
- PySpark 3.5.3
- MLlib
- Docker
- scikit-learn
- Pandas
- matplotlib
Education1
B.Tech in Civil Engineering
2022 — 2026JD College of Engineering, Nagpur
Certifications4
AWS Cloud Computing Essentials
2026Amazon Web Services
Google AI-ML Virtual Internship
2025AICTE & EduSkills Foundation
Python Full Stack Development
2025EduSkills Academy
Power BI Professional Analytics
2026Skillcourse