About Me

Hi, I'm Prashant! I am a software developer with knowledge in backend development, and full-stack web technologies. My tech stack includes Next.js, Firebase, Node.js, MongoDB, and Express, and I have experience in building scalable applications, deploying ML models and exploring Deep learning algorithms.

With a strong foundation in wireless networks and telecom, I have worked extensively on Layer 1 (Physical Layer) development, particularly focusing on PRACH, signal processing, and ML-driven optimizations. I am proficient in telecom protocols like UDP, TCP ORAN and have contributed to projects such as Massive MIMO, Outdoor Small Cell, and IMG CA.

Beyond development, I am passionate about problem-solving, coding challenges, and exploring emerging technologies like AI and machine learning. In my free time, I am a passionate sports person.

Education

Bachelor of Technology (B.Tech) in Computer Science & Engineering

Zakir Husain College of Engineering and Technology (ZHCET), Aligarh Muslim University, Aligarh

Relevant Coursework: Data Structures, Algorithm Design, Computer Architecture, Operating Systems, Wireless Communication, Signal Processing, Machine Learning, Computer Networks

CPI: 9.26


Senior Secondary (12th Grade) - PCM

Jawahar Navodaya Vidyalaya, Etah (CBSE)

Percentage: 92%


Secondary (10th Grade)

Jawahar Navodaya Vidyalaya, Etah (CBSE)

CGPA: 10.0

Skills

C / C++
Java
Python
TypeScript
JavaScript
Next.js / React.js
Node.js / Express.js
MongoDB
Firebase
Machine Learning
Deep Learning
Computer Vision
Data Structures & Algorithms
Telecom Protocols
UDP, TCP, ORAN
5G NR PRACH
Wireless Communication
Signal Processing
Linux Scripting
CentOS & RedHat OS
Git / GitHub
Phabricator
Chai/Mocha (Testing)
Matlab Toolboxes

Experience

Jio Platforms Limited

Software Development Engineer (R&D) | Jio Platforms Limited

Mumbai, India | June 2021 – Present

  • 5G NR Physical Layer R&D, optimizing PRACH receiver algorithms for better signal detection and synchronization.
  • Developed noise and interference cancellation features to improve receiver sensitivity.
  • Worked on carrier aggregation to enhance bandwidth utilization and spectral efficiency.
  • Implemented multi-user PRACH detection, enhancing resource allocation and reducing latency.
  • Integrated AI/ML techniques for PRACH detection, leveraging deep learning models (CNN/FNN).
  • Analyzed low-PHY logs, ORAN fronthaul logs, and performed PRACH signal processing in MATLAB.
  • Worked across L1-L2 teams, supporting feature development, troubleshooting, and enhancing NR gNodeB, CCDU, MRU, and LRU functionalities.
IIT Kanpur (iSmriti Collaboration)

Technical Internship | IIT Kanpur (iSmriti Collaboration)

Domain: Machine Learning & Robotics | Internship Period

  • Developed and deployed ML models with real-world datasets, gaining hands-on AI experience.
  • Built an autonomous toy car using a microcontroller, sensors, and a breadboard for real-time decision-making.
  • Designed a CNN-based facial image recognition AI model, applying deep learning and computer vision.
  • Explored AI/ML applications in embedded systems and robotics, enhancing problem-solving skills in automation.
Udaan Society, Aligarh

Volunteer Internship | Udaan Society, Aligarh

Community Development & Social Work | Internship Period

  • Provided books, clothes, and study sessions for underprivileged children.
  • Conducted government surveys in rural villages for social welfare programs.
  • Organized a Nukkad Natak (street play) on Environment Day, spreading awareness about conservation.
  • Engaged with media to amplify the campaign's reach, leading to newspaper coverage.

Projects

Portfolio with Next.js, TypeScript & Firebase

A personal portfolio built with Next.js, TypeScript TailwindCSS to showcase my skills, experience, education and projects. Integrated Firebase for backend services, vercel for deplyoment

View on GitHub

Task Manager App

A full-stack task management app with React, Node.js, Express, and MongoDB, enabling users to create and manage tasks. Leveraged Jest for robust unit testing

View on GitHub

Calorie Estimation App

An AI-powered app that estimates calorie intake from food images using deep learning and computer vision techniques. Flask server is used to deploy ML Classifier

View on GitHub

Human Facial Expression Detection

A deep learning model that classifies human facial expressions into emotions like happy, sad, surprise, neutral, fear, disgust and angry using CNNs.

View on GitHub

Social Media Backend (MERN)

Backend APIs for a social media platform built with Express.js, Node.js, and MongoDB, featuring authentication, implementing RESTful APIs for core functionalities, CRUD operations

View on GitHub

Achievements & Hobbies

🏆 Achievements

  • Secured 3rd Rank at Hack Aligarh Muslim University Hackathon powered by AMU-FOSSASIA in ZARF-19.
  • Active participant in coding competitions and hackathons, showcasing problem-solving skills.
  • Developed an AI-based PRACH detection model, optimizing 5G signal processing.

🎮 Hobbies

  • Playing Chess and Solving Sudoku puzzles to enhance problem-solving skills.
  • Football and Badminton enthusiast, staying active and competitive.
  • Passionate about photography, capturing sunrises, sunsets, and nature scenery.

Technical Profiles

Connect with me on these platforms.

Contact

Feel free to reach out to me via email or check my resume.

Mumbai, India