# MUHEET ALAM - Aspiring Data Scientist | Machine Learning Engineer
Source: https://hello.cv/muheetalam
Delhi

## Links
- LinkedIn | https://linkedin.com/in/ma1110

## About
Highly analytical and results-driven aspiring Data Scientist with a strong foundation in machine learning, cloud engineering, and algorithmic problem-solving. Developed and deployed advanced ML models for credit risk management and serverless RAG systems, demonstrating expertise in Python, FastAPI, LangChain, and Google Cloud Platform. Adept at translating complex data into actionable insights, evidenced by qualifying GATE 2024 with 94.35 percentile and mentoring over 60 students in technical subjects.

## Work
### Data Scientist / Machine Learning Engineer (Project Lead) | Credit Risk & Lending Analytics Project
Led the design and development of a data-driven credit risk decisioning system, leveraging historical lending data to optimize loan approvals and portfolio risk management.
- Engineered an end-to-end credit risk decisioning system, utilizing historical lending data to automate and optimize loan approval, review, and rejection processes across diverse loan portfolios.
- Developed and validated interpretable machine learning models (logistic regression, tree-based) for default risk prediction, employing cost-sensitive metrics to align with specific business risk appetites.
- Segmented model probabilities into Low, Medium, and High-risk categories, resulting in a quantifiable reduction in expected credit losses while simultaneously enabling portfolio growth.
- Performed comprehensive threshold and trade-off analyses, clearly demonstrating the impact of risk cut-off adjustments on approval rates, default rates, and overall financial losses.
### Backend/MLOps Engineer (Project Lead) | Serverless QueryQuill API Project
Architected and deployed a serverless Retrieval-Augmented Generation (RAG) API on Google Cloud Run, enabling intelligent, on-demand document querying with minimal infrastructure overhead.
- Designed and deployed a robust serverless Retrieval-Augmented Generation (RAG) API on Google Cloud Run, facilitating on-demand document Q&A with zero infrastructure management and enhanced scalability.
- Developed a high-performance FastAPI and LangChain backend to efficiently process business PDFs, generate vector embeddings via OpenAI models, and retrieve context using PineCone vector database for accurate responses.
- Containerized the complete RAG pipeline using Docker and implemented automated CI/CD deployment via Terraform and GitHub Actions, streamlining development and operational workflows.
- Integrated and configured scalable Google Cloud Platform services including Cloud Storage, Logging, and IAM, ensuring secure model storage, comprehensive monitoring, and robust access control.

## Education
### Delhi Technological University | Information Technology
8.17 CGPA
### AKTU, Lucknow | Computer Science
7.75 CGPA
### St. Mary's School, SRE | CBSE
81%
### St. Mary's School, SRE | CBSE
95%

## Languages
- English

## Skills
### Programming Languages
Advanced
- Python
- SQL
- C++
- C
### Data Science & Machine Learning
Advanced
- Pandas
- NumPy
- PyTorch
- Regression Models
- CNNs
- ViTs
- RAG
- LLMs
### Backend & MLOps Systems
Advanced
- FastAPI
- LangChain
- Hugging Face
- Docker
- GitHub Actions
- Google Cloud Platform
- Terraform
### CS Foundations
Advanced
- Data Structures & Algorithms
- DBMS
- Object-Oriented Programming
- Machine Learning
### Problem Solving & Analytics
Advanced
- Algorithmic Problem Solving
- Data Analysis
- Statistical Modeling
- Quantitative Analysis
- Decision Support Systems
### Leadership & Mentorship
Proficient
- Technical Training
- Student Mentoring
- Hands-on Labs
- Performance Improvement

## Interests
### Travel & Culture
- Chasing cultures through meaningful travel
### Astronomy
- Stargazing and decoding the universe

## Source
Read this profile on Hello.cv: https://hello.cv/muheetalam
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