Passionate about building innovative solutions using Python, Machine Learning, and Web Development. Currently pursuing MS in Computer Science at San José State University.
I'm a Computer Science graduate student at San José State University with a strong foundation in software development and data science. With experience as an Associate Consultant at Datacurate Technologies, I've worked on building scalable web applications and data management systems.
My expertise spans Python development, Machine Learning, and backend development. I enjoy solving complex problems and creating innovative solutions that make a real impact. When I'm not coding, you can find me exploring new technologies or working on personal projects.
Years Experience
Certifications
Undergraduate GPA
Currently pursuing advanced studies in Computer Science with focus on Machine Learning and Database Management.
Collaborated within a team to develop an online policy generation platform for an insurance firm using Flask. Contributed to building of key modules and APIs including referral system, payment tagging and premium generation. Optimized system performance by reducing database calls using OOP concepts and restructured schemas to eliminate redundancy.
Developed data marts and management routines using SAS DI Studio, including automated ETL jobs for scheduled DWH refresh, data cleansing, and aggregation processes. Built dashboards and profitability reports for data visualization and monitoring using SAS Viya and EG. Developed customer acquisition websites using the Django framework
Completed undergraduate studies with a strong foundation in computer science fundamentals and software development.
Completed 12th grade with focus on Science stream including Physics, Chemistry, Mathematics, and Computer Science.
Completed 10th grade with excellent academic performance and strong foundation in core subjects.
Microsoft
2024
IIRS, ISRO
2022
Udemy
2022
Bolt IoT
2022
Microsoft
2022
Coursera
2021
NPTEL
2021
Coursera
2021
Developed a full-stack AI chatbot to provide personalized post-operative guidance and automated triage using patient medical records. Used FastAPI in backend, RedisVL in vector search for RAG, Gemini API in LLM for contextual chat and triage via RAG.
Trained a TensorFlow-based Bidirectional LSTM for the task of natural language generation, specifically song lyrics generation. The model learned complex lyrical patterns from a multi-genre Kaggle dataset of English songs to create original verses.
Built a Python program to convert text into morse code with signals transmitted using Bolt IoT module. Utilized cloud platform for communication between users with real-time messaging capabilities.
Created a machine learning model which catches a credit card defaulter based on input features such as yearly debt payments, credit score, net yearly income, etc. Part of American Express Hackathon. Decision Tree was used with accuracy of 97.93%
Created a machine learning model which predicts the drug required for the patient given the patient's vitals such as BP, Cholesterol level, etc. Logistic Regression was used with accuracy of 93.3%
Designed and implemented a vehicle safety prototype using Arduino Uno, motors, and sensors to enhance accident prevention and passenger safety. Developed the embedded code to calculate distance between the car and surroundings using sensors and automatically apply brakes based on vehicle speed.
I'm always interested in new opportunities and exciting projects. Feel free to reach out if you'd like to collaborate.