Transforming challenges into intelligent solutions
I build scalable back-end systems, cloud infrastructure, and data engineering solutions for enterprise applications.
About Me
Background
I'm a passionate Software Developer with 2.5+ years of experience specializing in back-end systems (Java/Spring, Python), cloud infrastructure (AWS EC2/S3/Lambda), and data engineering (Apache Spark, SQL ETL) for Fortune 50 clients.
Location
Charlotte, NC
United States
Current Focus
Currently pursuing my Master's in Computer Science at UNC Charlotte with a focus on Artificial Intelligence, Robotics, and Gaming. Working as a Graduate Assistant, helping students master software engineering principles.
Tech Stack
Expertise
At Amdocs Ltd, I architected enterprise-grade solutions including a GenAI Deployment Tracker serving 5000+ global users, led Azure cloud migration of 4 enterprise applications, and built workflow management suites that reduced deployment cycle time from 10 hours to 6 hours. My expertise lies in building robust distributed systems, optimizing performance at scale, and solving complex engineering challenges.
Experience
Graduate Assistant
University of North Carolina, Charlotte
Assisting in the Software Engineering course, guiding students and grading assignments. Built automation tools using Canvas API and Python to streamline peer review management and grading workflows.
Software Developer
Amdocs Ltd
Architected GenAI Deployment Tracker with Python, MS Teams webhooks, and Azure services for 5000+ global users. Led Azure cloud migration of 4 enterprise applications. Built enterprise workflow management suite reducing deployment cycle time from 10 hours to 6 hours.
Associate Software Engineer
Amdocs Ltd
Resolved 400+ security vulnerabilities using Veracode SCA/SAST analysis, improving security posture by 90%. Developed JPython automation scripts reducing manual CSM operations from 8 hours to 3 hours daily. Built enterprise subscriber analytics engine with PostgreSQL-Couchbase hybrid architecture for 1M+ users.
Developer Intern
3Cans
Automated resume processing for 500+ candidates using BeautifulSoup/PDFMiner and NLP. Architected web scraping infrastructure with Scrapy, Redis, and Celery, achieving 10x performance improvement and processing 500k data points daily.
Education
Master of Science in Computer Science
University of North Carolina, Charlotte
CGPA: 3.66/4.00
Concentration: Artificial Intelligence, Robotics, and Gaming Core
Coursework: Software System Design & Architecture, Machine Learning, Cloud Computing for Data Analysis
B.E. (Hons.) in Computer Engineering
Savitribai Phule Pune University
CGPA: 8.74/10.00
Specialization: Data Science
Featured Projects
ECG Classification using ML
Implemented ML models (KNN, CNN, CNN+LSTM) in Python for ECG time-series classification with 90%+ accuracy. CNN+LSTM outperformed traditional methods by 15-20% on complex temporal patterns.
Smart Attendance Monitoring System
Engineered AI-based attendance system using Python, OpenCV, and HOG algorithms for real-time/bulk face detection with 90% accuracy. Automated attendance processes across 10+ institutes serving 100+ professors.
GenAI Deployment Tracker
Architected enterprise deployment monitoring system through seamless integration of Python, MS Teams webhooks, and Azure services with automated scheduling for real-time deployment monitoring across 5000+ global users.
Skills & Technologies
Programming Languages
Frameworks & Libraries
Databases
Cloud & DevOps
ML & AI Technologies
Methodologies
Get In Touch
I'm currently looking for new opportunities and my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!
Achievements & Awards
SmartOps AT&T Radiant Recognition
Cross Initiatives Category
Recognized for building GenAI-based Deployment Tracker to streamline project monitoring across engineering teams.
First Prize – National Level Project Competition
TECHCULT 2022, Pune, India
Won for developing Face Recognition-based Attendance Monitoring System using OpenCV and Machine Learning.