Jan 2024 – May 2025 · 1 yr 4 mos · Hyderabad, Telangana, India · On-site

• In this company I worked for Bank client and help them in developing 3 payment management application which was deployed in realtime production environment and did prod support and monitoring. I also worked on deployment of application and resolving prod and deployment issue. I also did BDD testing using cucumber and Wiremock and also worked on Junit and Performance testing using Gatling. I have good exposure in front end development as well along with java and backend development. I also have knowledge in front end tools like React and Javascript , CSS etc.

Oct 2022 – Dec 2023 · 1 yr 2 mos · Hyderabad, Telangana, India · On-site

Feb 2022 – May 2022 · 3 mos · Hyderabad, Telangana, India · Remote

• Developed a vaccine booking system website where users can register and create their profiles. Afterward, they can log in and book vaccination on a particular date and slot. They can also check their
• vaccination status of dose1 and dose2. Tools used: java, spring boot, HTML, CSS, javascript)

May 2021 – Feb 2022 · 9 mos · Bengalore, Karnataka, India

• 1.VICAS Roller motion and direction detection June 22-Sept 22
• (Python, OpenCV, C++, image processing, template matching, motion detection)
• · Developed a python program to track the motion of the roller in the video with the help of the OpenCV
• library and template matching algorithm. This code detects the position of the roller in the video and
• draws an ellipse around it. Later converted this code to C++. · Working on roller direction detection project. Developing python code that can detect whether the
• roller is moving forward, backward or it is stationary with the help of the OpenCV. ·
• 2.John Dheere Engine Component Detection May 21 -Feb 22:
• (Tensolflow, CVAT, Intel OpenVino Toolkit, YOLO, RCNN, efficientDet, YOLO V5, R)
• · Developed the complete pipeline for object detection model for mask and unmask engine components
• identification in the assembly line of John Dheere tractor manufacturing line. Filtered, preprocessed, and Labeled a large amount of image data of 30 different types of engine models on the CVAT tool. Generated XML, CSV, and TFRecords of these data using python code and then trained the model using
• the efficientDet model on GPU. Then performed testing on Intel OpenVino Toolkit. Also worked on
• different types of models like YOLO V5, RCNN, and RESNET for gaining more accuracy. · Worked in a team of three members for developing a smart human detection alarming system and
• helped in the integration of IoT Module, relay module, buzzer, red and green lights, and camera. ·
• 3. COVIPS PROJECT : (Arduino Programming, IoT, Hardware Integration) May 20-July 20
• Done the IoT-based integration of Thermal Gun by integrating ESP8266 NodeMCU and IR contactless
• temperature sensor MLX90614 for measuring the temperature of COVID 19 Patients and thus
• contributed to the COVIPS projec

May 2020 – Jul 2020 · 2 mos · work from home

• Developing a contactless IR temperature Gun using ESP8266 NodeMCU and MLX90615 IR Temperature sensor . Integrating the sensor with IoT Module , done its coding part for taking temperature data of COVID 19 Patient and sending it to the app.

Mar 2020 – Jun 2021 · 1 yr 3 mos · Remote

• Under the guidance of
• Prof. Sujoy Saha and with a team of 6 members (Team Draunzit), participated in SIH 2020 and became
• Page 2
• the winner of the competition. Our problem statement was to design a scientific method for assessing
• the quality parameters of raw jute. We developed the prototype of our proposed solution using drone
• technology, multiple soil sensors Arduino, IoT Module, and live health monitoring of jute crops and
• retting farm