Portfolio
Check out my featured projects
NIFTY Options Trading Research
A two-stage AI-powered trading system for intraday NIFTY options, combining BiLSTM classifiers with Proximal Policy Optimization (PPO). Stage 1 filters trade-worthy setups with high confidence, while Stage 2 classifies CE/PE direction. Backtested on 5 years of NIFTY data, our model demonstrated a 24% higher risk-adjusted return over traditional strategies. This research has been structured for academic publication and real-time deployment on live markets.
Inventory Management
Discover the power of streamlined inventory management with our cutting-edge software. Designed to optimize stock levels, generate insightful reports, and predict replenishment needs, our tool empowers you to stay ahead of demand curves and maintain operational excellence. Embrace efficiency with a solution that transforms your inventory control into a strategic advantage.
Employee Management
Identifying the need for a more efficient and accurate method to manage student employee schedules and hours at Georgia State University's Panther Dining Chick-fil-A outlet, I developed a comprehensive Student Employee Management System. This digital solution was designed to replace the outdated pen-and-paper method, offering a streamlined approach to tracking time-related activities of student workers.
CedarAlgo
Developed an advanced algo trading web application in Python, achieving 92% strategy accuracy with real-time and historical data integration using ANGLE ONE API, Flask, and WebSocket. Engineered a responsive UI using HTML/CSS and deployed the application on AWS EC2 to ensure scalability and security. Utilized robust technical analysis to dynamically manage trading signals, maintaining high operational compliance and efficiency.
About Me
Turning complex problems into simple Applications
Python
HTML/CSS
AI/ML
TensorFlow/Keras
Reinforcement Learning
SQL/Data Analysis
I am a Computer Science sophomore at Georgia State University with a strong focus on Machine Learning, Reinforcement Learning, Python, and full-stack development.
My recent work includes the design of a hybrid LSTM-PPO model for intraday options trading, leveraging deep learning and reinforcement learning to optimize trade decisions. This research has been submitted to IEEE Access and showcases my ability to build production-grade AI systems from raw data engineering to backtesting and evaluation.
I am also skilled in UI/UX design, agile team collaboration, and technical writing, with experience developing Flask and Flutter apps to deliver seamless user experiences. My approach combines strong analytical thinking with rapid prototyping, enabling me to contribute across both frontend and backend development cycles.
I’m actively seeking internship opportunities in software engineering, AI research, or quantitative development where I can apply my skills and grow through impactful, real-world challenges.
Resume
Education and practical experience
My Research
Two-Stage BiLSTM for NIFTY Options
Published / Submitted to IEEE Access
Designed a two-stage deep learning framework combining BiLSTM networks for intraday CE/PE trade classification in NIFTY index options. Achieved 86% directional accuracy and outperformed baseline models by 24% in cumulative return during 2023 backtesting. Utilized technical indicators, engineered features, and real-time simulation to validate live-deployable performance.
My education
Computer Science
Course by Georgia State University
Undergraduate Student Pursuing a Bachelor of Science Degree in Computer Science
Work experience
Assistant Software Developer
in the Panther Dinning , Georgia State University
• Led a comprehensive employee management initiative that enhanced attendance accuracy by 20%, significantly improving workforce management efficiency.
• Developed an innovative Employee Rating System which enhanced productivity by streamlining feedback processes, thereby fostering a more efficient work environment.
Student Leader
in the Chick-Fil-A Georgia State University
• Led a team of 12 student employees at campus Chick-fil-A, orchestrating activities to streamline operations, enhance customer service, and optimize workflow, achieving a 25% reduction in response time and a 15% increase in customer satisfaction.
Software Developer
in the Ebrious Private Limited India
• Led a team in the development of 7+ mobile applications using Flutter at Ebrious Private Limited.
My favourite tools
Python
Google Cloud
AWS
GIT
Scrum
SQL
Postgre SQL
