Vedant Anantwar

Quality Assurance Engineer with over 2 years of experience in software testing for enterprise-grade business intelligence and data analytics platforms. Expertise in designing and executing test plans, implementing automation frameworks, and managing defects. Skilled in both manual and automated testing using Selenium TestNG, with a proven track record of enhancing software quality and functionality.

Coin Collection, Singing

Convolutional Encoder and Viterbi Decoder in Verilog

• Designed a (2,1,3) convolutional encoder using 3 shift registers.
• Implemented a Viterbi decoder in Verilog HDL to systematically add and extract message bits.
• Focused on error correction in digital communication systems.

Location Tracking and Guidance System for Blind

• Developed a computer vision and machine learning-based system.
• Included an obstacle detection module (hand-held device) providing tactile feedback.
• Created a smartphone application for real-time location tracking, navigation via auditory commands, and caretaker sharing for visually impaired individuals.

Road Surface Classification and Obstacle Detection for Visually Impaired People

• Created a computer vision-based system to differentiate between road types (e.g., Tar, Tar, Cement).
• Designed to detect obstacles, providing crucial navigation aid.
• Enhanced safety for visually impaired users in diverse environments.

Water Pollution Control Machine

• Designed a machine to collect floating waste and cut unwanted plants in water bodies.
• Incorporated a garbage level indicator to minimize manual labor.
• Aimed to improve efficiency in water pollution control.

• Awarded with the Certificate of Appreciation in e-yantra Fighting COVID-19 Hackathon (IIT Mumbai).
• Secured runner-up position in Electrothon organized by S.G.S.I.T.S College, Indore (sponsored by Coding Blocks, Platforma).
• Participated in and presented a paper at the International Conference on Innovation in Computer Science, Electronics, and Electrical Engineering 2022
• Paper accepted in ICRACT 2022.
• Participated in Hackathon by SRM NCR sponsored by AICTE (Qualified in Top 50 out of 253 projects).
• State level winner of Inspire Award Science exhibition organized by Ministry of Science and Technology of India.
• Secured runner-up position in Web hacks Hackathon by DSC, VIT, Pune.
• Participated in the e-Yantra Robotics Competition 2020 at IIT Mumbai

• Core Java Programming from Internshala
• Deep Learning by Andrew Ng (Coursera)
• Machine Learning by Stanford University

• Technical Member of TRF, VIT Pune
• Technical Head at Economics Society, VIT Pune