About me

Snehal Reddy

Summary

I am K. Snehal Reddy, a UG student pursuing Computer Science and Engineering at IIT Kharagpur who is passionate about software development, competitive programming and application of AI in real life.I am currently interning at University of Cambridge helping in building software responsible for detecting depression using multiple cues. I also enjoy participating regularly in competitive programming contests on Codeforces and am currently rated 2000+. On Codechef and am currently rated 2100+ (5 star) a Apart from that, I also enjoy playing a lot of sports such as tennis, squash and football.

To know more about my work, please feel free to go through my resume.

My CV

Contact Info

Experience

Summer Intern

University of Cambridge

05/2020
-
current

  • Project Description: Worked on building software the aid in the detection of depression. Worked extensively in designing and developing the visual pipeline and integrating it with audio and language pipelines. During development, followed the scrum framework extensively for the course the project.Collaborated in parallel with other teams in helping them deploy the software for public trials.

Software Engineering Intern

Tata Consultancy Services

06/2019
-
07/2019

  • Project Description:Built and tested software packages responsible for anomaly prediction in sequential networking logs at TCS Next Gen. Followed the agile model for the software development life cycle framework. Worked in parallel with teams at the client side understanding their requirements and taking feedback on a periodic basis. The final package used Hidden Semi-Markov Model as a backbone the prediction.

Software Development Intern

Swae

05/2019
-
07/2019

  • Project Description:Was actively involved in software testing life cycle finding flaws in the product, which is an intelligent decision-making platform combining anonymity, artificial and collective intelligence. Was as involved in building semantic analyzer, summarizer and other elements of the software stack, while simultaneously, taking into consideration alpha testing results from other teams.

Software Engineering Intern

LYTIQ GmbH

12/2019
-
01/2020

  • Project Description: Worked on training, validating and deploying models in a pipelined fashion on Services such as Azure and KubeFlow. I was involved in setting up different pipelines for various use cases invloving secure learning procedures, wherein the dataset in use contained sensitive information and had to be protected from public eye.

Deep Learning Intern

Landskape

09/2019
-
04/2020

  • Project Description: Working on Loss Change Allocation to get an insight into the loss landscape of Neural Networks, and using that knowledge to along with fundamentals of chaos theory to help design methods to improve the performance of neural networks.

Software Team Head

Kharagpur Robosoccer Students’ Group

05/2018
-
Present

  • Project Description:We are responsible for building autonomous soccer-playing robots. I am currently the software team head of KRSSG. I have worked on Path planning algorithms, Multi agent strategy development and simulation and a lot of the software stack of our team for RoboCup . We are the only Indian team to participate in RoboCup.

Education

2017
-
2022

Dual Degree (B.Tech + M.Tech)

Computer Science and Engineering

Indian Institute of Technology, Kharagpur

  • Degree grade: 8.90 (upto 6th semester)

2015
-
2017

High School

Sri Chaitanya

  • Degree grade: 98.6%

ACHIEVEMENTS

  • Codeforces rating - 1900+ (Candidate Master)
  • Part of bronze winning Open-Soft team in General Championship
  • Had the opportunity to take part in Google Foobar challenge.
  • Mentored 100 sophomore students in ML Winter School in the winters of 2019. Over the course of a week, covered the basics of ML and neural networks, as an entry point for beginners to get into.
  • Mentor of the project MedAI as a part of Kharagpur Winter of Code, which is a 5-week long online programme for students who are new to open source software development.
  • All India Rank 295 out of 120,000 students: JEE Advanced , 2017.
  • 2nd Runner Up, Code-O-Soccer, Kshitij,2018
  • Mentored 90 junior and sophomore students in IEEE certified Image Processing workshop in the winters of 2018. Over the course of a week, covered the basics of image processing.
  • Part of the only Indian team to qualify for RoboCup 2018, Canada and Robocup 2019, Australia
  • Finished as the 1st runner up in the Badminton tournament as part of the Computer Science Intra-Department Sports meet.
  • Part of LLR Hall Tennis and also the squash team for the General Championship, Sports 2019-20.