B.Tech. CSE – Achievements

SHREYANS KETAN SHETH

• Ranked 86th worldwide in the CodeChef September ’15 Long Challenge, a Competitive Algorithmic Programming contest out of over 5000 participants.
• My team TrieHard was selected for the Indian ACM ICPC Regionals 2016 amongst thousands of other competing teams.
• I’ve shared my optimized implementation of Djikstra’s Shortest Path Algorithm on Quora here and it’s had over 30k views and plenty of forks on Ideone.

Youngest National Finalists at the IBM-RTBI Hackathon at IIT Madras

Shantanu Tripathi

• Qualified for ACM ICPC Asia Amritapuri Site Regional Contest 2016.
• Stood 26th out of 2500 students all over India in Think ¬ a ¬ Thon, Hewlett Packard Enterprise (HPE)
• Selected among top 2000 members all over India for Codechef Snackdown, 16
• Stood 84th in the 101 Hack Dec 2015, in Hackerrank
• Stood 91st in April ¬ circuits 2016, in Hackerearth
• Stood 98th in Codechef world ranking.

Fenil Patel, Prastut Kumar

• Winner, First and Second Prize, SwellRT Software Contest

Prastut Kumar

• Finalist, World UX Championship

SHARAD AGARWAL

• Founder of the OWASP VIT Student Chapter. 4th OWASP Student Chapter in India
• Got the Red Hat Certification – Red Hat Certified System Administrator.
• Founded and developed an app called DERT(Doctors Emergency Rescue Task)

NITU SHARAFF

• Microsoft Campus Connect 2015 (Team of 4), 1st prize for Website development
• Loki Toki Hackathon event organized by Microsoft Innovation Center (Team of 3), 3rd place for Windows App in 24 hours, Windows app for blind and deaf to learn using the phone by vibrations and GIFs.

AMAN HUSSAIN

• Awarded Elite Certification in Artificial Intelligence course from IIT Madras
• Co-Founder of BornFree Labs (Independent Game Development Studio)
• Developed Unity Plugins and Tools for Unity Asset Store
• Organized and Instructed a Game Dev Workshop on TechnoVit

SUBHOJEET PRAMANIK

• Ranked 6th internationally in Russian Text Normalization Challenge by Google (http://www.kaggle.com/c/text-normalization-challenge-russian-language)

Contribution: Developed a new deep learning model that helped us achieve 99.2% accuracy.

• Awarded Elite Certification in Artificial Intelligence course from IIT Madras
• Organized and Instructed a Game Dev Workshop on TechnoVit
• Co-Founder of BornFree Labs (Independent Game Development Studio)
• Developed Unity Plugins and Tools for Unity Asset Store
• Mr Subhojeet Pramanik had participated in the Tensor flow Speech Recognition Challenge conducted by Google Brain (httpd://owowow.kaggle.com/c/tensorflow-speech-recognition-challenge) on 17 January, 2018. His endeavours in Google’s challenging initiative won him the highest percentage (top 5%) on the final leaderboard succeeding in a 90% accuracy ratio.
• The primary challenge of the contest is to use Speech Commands Dataset in comprehending spoken commands out of which an ensemble of 13 unique deep learning models had been deduced by him offering a credible outcome (httpd://github.com/subho406/TF-Speech-Recognition-Challenge-Solution).