Master of Science - Information Technology
Arizona State University (ASU)
Tempe, AZ 01.2024 - 12.2025
Sree Rama Durga Veenadhari Ponukumati
Graduate Student At Arizona State University
Tempe,Arizona
Summary
An organized, flexible, and creative individual, driven by a deep passion for personal growth and staying up-to-date with the latest trends in knowledge. Committed to making a positive impact on the world, finds great fulfillment in engaging in social service activities that contribute to a better future. With a strong desire to continuously improve and a dedication to making a difference, eager to leverage skills and abilities to achieve success in professional endeavors.
Education
Bachelor of Science - Computer Science And Engineering(CSE)
Vellore Institute of Technology(VIT)
Chennai, India 07.2019 - 07.2023
Skills
Artificial Intelligence & Machine Learning: Supervised and Unsupervised Learning (Classification, Regression, Clustering), Deep Learning (CNNs with TensorFlow/Keras), Natural Language Processing, Computer Vision (OpenCV, CVzone), Feature Engineering, Model Evaluation, Performance Metrics, Generative AI, Large Language Models (LLMs), Prompt Engineering, Context Engineering, Retrieval-Augmented Generation (RAG), Data & AI Pipelines, ETL Pipelines, Spark, scikit-learn, XGBoost, PyTorch, Hugging Face, OpenAI API, Predictive Modeling
Work History
AI & RAG Development Intern
Datsura
McLean, Virginia
06.2025 - 08.2025
- Developed RIS Explorer AI Chat-bot using Retrieval-Augmented Generation (RAG), GPT-4o, and predictive modeling to analyze
FDIC RIS datasets, enhancing data analysis capabilities. - Improved processing efficiency by leveraging RAG workflows with GPT-4o and writing SQL queries to query and summarize
FDIC RIS financial data. - Supported semantic search and natural-language queries by building a Streamlit-based chatbot integrated with Lang-Chain and
Azure SQL, enhancing user interaction with data. - Developed NLP pipelines using spaCy for bank-name extraction and RIS code detection, reducing errors and eliminating
hard-coded logic, improving accuracy by 30%. - Conducted unit testing, error handling, and iterative release cycles to enhance system reliability and deliver 50% faster insights.
Backend Developer Intern (AI-Focused)
Self Justice Inc.
Tempe, Arizona
06.2025 - 08.2025
- Developed a web-based mock courtroom simulation platform using JavaScript and OpenAI GPT models, enhancing user engagement and understanding of legal processes.
- Integrated a Node.js + Express backend with the GPT API using JavaScript to enable multi-phase conversational workflows for
realistic courtroom roleplay (Judge, Opposing Counsel, etc.), improving authenticity and educational value. - Designed and implemented the frontend interface with WordPress, JavaScript, and Elementor, including a custom two-step form
and interactive chat UI for user-case interactions, resulting in a more intuitive and engaging user experience. - Engineered prompt templates to control LLM behavior across trial stages, ensuring structured, coherent, and context-aware legal
dialogue, tested role-based interactions, and deployed updates across staged releases, which improved the accuracy and reliability of the simulation. - Applied secure development practices, including .env key management, CORS policy configuration, and API route protection, enhancing the security and integrity of the platform.
IT & Web Developer Intern
Basket-Hunt Pvt Ltd
Jharkhand, Jharkhand
08.2023 - 10.2023
- Developed the iLearn Platform, a dynamic e-learning web application, using HTML, CSS, JavaScript, and PHP to enhance digital education accessibility and improve student-instructor engagement.
- Designed and enhanced the iLearn e-learning platform using HTML, CSS, JavaScript, and PHP, boosting user engagement and
platform usability. - Integrated MySQL for user authentication and dynamic course modules.
- Participated in the full release cycle of projects, including design, coding, testing, and deployment, applying iterative updates to
improve project outcomes. - Supported IT operations by training over 30 employees and managing onboarding processes, which improved team efficiency and integration.
Projects
Prompt Playground - an AI Prompt Evaluation Platform (Personal Project), Sep 2025 - Present
- Developed an interactive “Prompt Playground” web app to test and compare AI responses using multiple prompt-engineering techniques such as ELI5, Chain-of-Thought, and Quick Learn.
- Implemented a real-time AI prompt optimizer that suggests improved phrasing using GPT-4o and automatically measures response quality scores based on clarity, length, and precision.
- Designed a Response Comparison dashboard in Streamlit that visualizes scoring metrics (e.g., word count, relevance, and reasoning depth) across multiple AI response modes.
- Integrated OpenAI API with dynamic token tracking to analyze prompt efficiency and demonstrate the measurable impact of prompt-engineering strategies. Enabled side-by-side evaluation of responses with "Select Best" and "Suggested Prompt Optimization" features, providing a hands-on learning tool for AI practitioners.
Automatic Parking-Slot Detecting System
- Developed a real-time parking management system to detect free and occupied slots from public CCTV footage.
- Implemented image processing and object detection algorithms using the OpenCV and CVzone libraries.
- Built a dynamic IoT dashboard using a Python WebSocket server to stream live slot occupancy updates.
- Optimized the system for low-latency inference, enabling real-time status tracking and contributing to smart city infrastructure development.
Phishing URL Detection
- Built a machine learning model to classify phishing and legitimate URLs by extracting domain, path, and content-based features.
- Applied pre-processing techniques and trained neural networks using TensorFlow, achieving 92% detection accuracy.
- Enhanced operational efficiency and security by deploying a real-time phishing detection system.
- Automated ML pipeline in Python covering ingestion, training, and API deployment (ETL simulation).
House Price Prediction Based on Environmental Factors
- Designed a predictive model to estimate house prices based on proximity to parks, theaters, and restaurants.
- Conducted data collection through surveys, applied data cleaning, visualization, and feature engineering.
- Conducted feature selection using a correlation matrix and Recursive Feature Elimination (RFE) to improve model generalization.
- Improved model accuracy by training and evaluating Linear Regression, Decision Tree, and K-Nearest Neighbors (KNN) models.
- Reduced Mean Absolute Error (MAE) by 16% through feature selection, notably enhancing Decision Tree model performance.
Railway Reservation Portal
- Built a full-stack ticketing system used by 50+ test users. Designed the database schema for 20+ entities with real-time updates.
- Handled database administration tasks including indexing, optimization, and schema updates.
- Created a responsive UI and applied full CRUD functionality
Blood Bank Management System
- Developed an online 24/7 blood bank management system that enables users to donate and receive blood, with all operations monitored by an admin.
- The platform was built using HTML, CSS, Bootstrap, and PHP, with a MySQL database to securely store donor and receiver details, including name, phone number, age, weight, and associated hospital information.
- The system streamlines blood availability management and ensures real-time access to critical data.
Certification
Engineering Project Management:Ira A. Fulton Schools of Engineering at Arizona State University
Volunteer Experience
VOLUNTEER, NSS CLUB - VELLORE INSTITUTE OF TECHNOLOGY, Chennai, India, 09/2020, 09/2021
I was involved in different youth parliament sessions and was in a team called Prakrit which works for the sake of environmental development and in the influencers team which encourages different cultural talents.