Full Stack Developer | FrontEnd Developer | Redux Redux Toolkit | Python
Results-driven Frontend Developer with 2+ years of experience building scalable, high-performance web applications using React.js, Redux Toolkit, TypeScript, and Material UI, with expanding expertise in MERN stack development.
Brillio
1 yr 6 mos · Hyderabad, Telangana, India
Brillio
1 yr 6 mos · Hyderabad, Telangana, India
NIT, Andhra Pradesh
3 mos · India
SERB sponsored internship, NIT AP, UAVs Department, May 2023 - July 2023 - Received stipend for work on the development of UAVs for aerial surveillance and mapping. - Assisted in the research on the use of drones for crop monitoring and irrigation management.
Brillio (Client: Verizon)
Dec 2024 – Present
Architected responsive UI components using React.js and Material UI for Verizon's enterprise web platform; engineered Redux Toolkit state management; integrated 10+ REST APIs; led requirement-gathering sessions with Verizon stakeholders; contributed to a 30% improvement in component load efficiency; collaborated with backend, QA, and product teams in Agile sprints.
Codegnan
Apr 2024 – Nov 2024
Developed end-to-end applications using React.js, Python, Flask, MySQL, and REST APIs; built reusable components and responsive interfaces; led frontend development for a team-based capstone project; gained experience with full-stack architecture, debugging, and deployment workflows.
NIT Andhra Pradesh
May 2023 – Jul 2023 · Andhra Pradesh
Contributed to UAV development for aerial surveillance and mapping applications; collaborated with faculty and research teams on hardware-software integration for drone navigation systems; awarded a stipend for research contributions.
Bachelor of Technology, Electrical
Jun 2020 - May 2024
8.72 CGPA
Intermediate, Maths physics chemistry
Jun 2018 - Mar 2020
SSC
Jun 2017 - Mar 2018
B.Tech, Electronics & Communication Engineering
Jun 2020 – Jun 2024
CGPA: 8.72 / 10
4 Months Duration Project In Indian Institute Of Technology, Tirupathi. The objective of this project is to develop a machine learning model to select an optimal reflection coefficient vector that maximizes achievable rate with less training overhead for a Large intelligent surfaces (LISs) especially for smaller datasets.
1. UPDATING THE FIELDS USING API KEYS Created a channel on thinkspeak and updated the values of fields like temperature , humidity,pressure using browser.This project is done in the month of july 2022 2.TEMPERATURE WARNING USING IOT Created a channel on thinkspeak and updated values using browser.when the temperature goes beyond the safe level,a warning tweet appears in the twitter.This project is done in the month of august 2022
A project is done using ultrasonic sensor.the sensor detects the water level in the tank and fills if needed or switches off the motor if is filled.This helps in prevention of water wastage.
Designed and built a Configurable Queue system for Verizon engineers to create, manage, and automate configuration templates for multiple vendors and network types. Implemented reusable components for tasks, parameters, and API integration management, and iterated on UX with Verizon clients.
Built a full-stack telecom management application using the MERN stack with plan listing, user dashboards, transaction history, authentication, dynamic routing, responsive design, and RESTful CRUD APIs.
Contributed to a 3-month research initiative at IIT Tirupati exploring intelligent surface technologies to improve 6G signal efficiency and coverage.