I'm a passionate Software Engineer with a year of experience building high-performance, scalable software solutions, microservices and asynchronous architectures. I am proficient in C++, Python, and Java, with a solid foundation in high-performance computing, distributed systems, full-stack development, operating systems, systems programming, concurrent programming, socket programming, and backend optimization.

My skill set extends to AI/ML, deep learning, Natural Language Processing, Computer Vision, algorithms, data structures, database systems, and cloud computing. Currently, as a Research Assistant at Purdue, I’m actively contributing to high-performance computational simulations research, managing huge datasets (>300 TB), and implementing parallel processing techniques. I thrive in collaborative environments and I’m always looking for new challenges to push the boundaries of technology. Let's connect and create the future together! 🚀

• Natural Language Processing
• Computer Vision
• Machine Learning
• Deep Learning (PyTorch, TensorFlow)

• Linux System Programming
• Memory Management
• File I/O
• Socket Programming
• Network Protocols and Communication

• Multi-Processing & Multi-Threading
• Virtual Threads & Coroutines
• Asynchronous Programming
• GPU Programming (CUDA)
• MPI & OpenMP
• Posix Threads

• C, C++, C#
• Python, Java
• JavaScript
• SQL, N1QL

• Spring Boot, Spring Webflux, Vert.x
• Node.js, Express.js
• Django, FastAPI
• React, Angular

• Git, Docker
• Redis, Apache Kafka, RabbitMQ
• JMeter, Postman, JDBC
• Cloud: AWS, Azure, GCP, Heroku

• MySQL, MariaDB, PostgreSQL
• MongoDB, Couchbase, Firebase

• GitHub, BitBucket, Jira, LeetCode, Kaggle, Hugging Face, GeeksForGeeks

• Linux, MacOS, Windows

Purdue University, Fort Wayne, Indiana
📅 January 2024 – Expected May 2025
📈 GPA: 4.0/4.0

National Institute of Technology Warangal, India
📅 August 2018 – May 2022
🏆 Achievement:
Ranked #9227 out of 1.2 million in JEE Mains (2018)

Purdue University Fort Wayne
Programming Language Design & Cosmological Simulations (Sept 2024 - Present)

• Assisting professors in delivering course material, grading assignments, and providing academic support to students in Programming Language Design.
• Contributing to high-performance computational cosmological simulations (CosmoSim) research using Python, handling datasets >300TB.
• Implementing parallel processing techniques to improve performance in HPC environments.

Wibmo (a PayU company)
Jul 2022 - Apr 2023

• Developed and optimized backend services for a Risk-based Authentication Engine, enhancing fraud detection and prevention, including identifying money laundering and BIN attacks, ensuring secure transaction processing.
• Designed/developed a microservices architecture to handle high-traffic loads, improving scalability, system reliability, and performance under increased user demand.
• Optimized transaction processing time for critical operations using optimization techniques.
• Developed asynchronous event-driven systems using RabbitMQ & Kafka, reducing latency by 20%.
• Utilized a diverse tech stack including Spring Boot, MySQL, Couchbase, Redis, Node.js, Docker, Linux, and AWS, delivering comprehensive solutions across multiple technology layers.

Freecharge
Remote Internship (May 2021 - Jul 2021)

• Optimized microservices architecture for better system efficiency and scalability.
• Led memory caching initiatives, reducing database load and boosting performance.
• Implemented load balancing optimizing resource allocation and ensuring system reliability.

Ravgins
Remote Internship (Jun 2020 - Aug 2020)

• Developed web and mobile apps using Angular, Ionic, and other front-end tools, enhancing user experience.
• Built full-stack platforms with responsive design, improving functionality and interaction.
• Collaborated with a cross-functional team to deliver projects on time, aligning with objectives.

AI/ML hate speech classifier leveraging CNNs, advanced transformers (BERT), and FastText embeddings for precise NLP-based content filtering.

• Technologies: Python, Pytorch, FastText, Scikit-learn, Seaborn, Matplotlib, Kaggle, and Transformers (Hugging Face)

A C++ networking library optimized for high performance and low latency, designed to deliver rapid responses for scalable data access.

• Employs advanced techniques like request pipelining, io_uring, kqueue-based event loops, and asynchronous I/O for efficient connection handling.
• Integrates modern C++ coroutines based virtual thread task offloading to maximize CPU utilization and handle high-throughput workloads.
• Designed for scalable, low-latency, and reliable large-scale server applications.
• Technologies: Modern C++, Linux System Programming, Socket Programming, High-Performance Computing (via Multi-Threading & Multi-Core Optimization), Asynchronous I/O

A high-performance in-memory key-value store focused on delivering low-latency responses for scalable data access.

• Architecture:
  • Event Loop-Based Networking: Employs I/O multiplexing for efficient network management.
  • Event-Driven Asynchronous I/O: Utilizes an event loop to handle I/O operations efficiently.
  • Concurrent Connection Management: Leverages advanced data structures for efficient concurrent processing.
  • Thread Pool for Workloads: Maintains a thread pool to handle computationally intensive tasks.
  • Efficient Resource Management: Integrates timer management for handling idle connections and expiring data.
  • Pipelined Request/Response Protocol: Allows clients to send multiple requests without waiting for individual responses.
• Technologies: C, C++, Data structures and Algorithms, Socket Programming, Linux System Programming, and High-Performance Computing

• A mathematical expression evaluator tool that can parse and evaluate a given math expression.
• Supports addition, subtraction and multiplication operations on matrices.
• Technologies: C++, Data structures and Algorithms

• Social networking and chat web application inspired by Facebook, built with Node.js, EJS, and MongoDB using the MVC design pattern.
• Backend handles authentication, session management, messaging, and multimedia sharing through RESTful APIs.
• Includes features like image/video uploads, friend requests, and group sharing, optimized for smaller-scale operations.
• Technologies: Node.js, MongoDB, RESTful APIs, EJS, MVC pattern

• A music player website with user authentication, audio/video upload and download options, search filters, personalized playlist options, and song repetition mode.
• Technologies: EJS, NodeJs, MongoDB, MySQL

Always eager to team up on projects that explore new horizons and drive innovation. Let’s connect and create something extraordinary together. Reach out anytime!

"Stay curious and keep exploring — every challenge is an opportunity to grow."