CV

Bachelor of Technology (B.Tech.)

Indraprastha Institute of Information Technology Delhi (IIITD)

Computer Science and Engineering

GPA: 9.67/10.00 (Class rank: 2 of 323)

Selected coursework:

Reward Copilot for RL-driven Systems Optimizations

NeurIPS 2024 Workshop on ML for Systems

We introduce Reward Copilot, a framework that facilitates the design of interpretable reward functions based on client specifications for any RL framework.

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy

USENIX NSDI 2024

We introduce OPPerTune, a framework enabling apps in deployment to continuously optimize performance by tuning configuration parameters. Visit aka.ms/oppertune to know more about the project.

Research Software Engineer 2

Microsoft Research India

• Project Reward Copilot
  Advisors: Dr. Nagarajan Natarajan, Dr. Mayukh Das
  
  • Automating interpretable reward functions design for RL-driven systems optimization.
• Project Network Brain
  Advisors: Dr. Venkat Padmanabhan, Dr. Debopam Bhattacherjee, Dr. Rohan Gandhi
  
  • Optimizing geo-distributed training of large language models (LLMs).
  • Developing output sequence length predictors for LLMs to aid in downstream tasks.
• Project OPPerTune    
  Advisors: Dr. Nagarajan Natarajan, Dr. Ranjita Bhagwan
  
  • Created OPPerTune, a framework enabling apps in deployment to continuously optimize performance by tuning configuration parameters.
  • Built a Python library integrating our implementations of RL tuning algorithms, established benchmarks for evaluation, and led research toward product deployment.
  • Led OPPerTune's integration into Azure Resource Central, Microsoft's prediction serving platform, and open-sourced it. It is being used in Microsoft and is patented in the US.
• Project CEISER
  Advisors: Dr. Jayashree Mohan, Dr. Anand Iyer
  
  • Reducing inference costs by replacing a large ML model with an ensemble of smaller, heterogeneous models while maintaining accuracy and latency targets on a single GPU.

Undergraduate Researcher

Bachelor's Thesis: Client-independent IP Geolocation

Affiliated to: Networks and Security Lab (IIITD)
Advisors: Prof. Sambuddho Chakravarty, Prof. Mukulika Maity
Grade: A+

• Developed a novel IP geolocation system with Kalman Filters, outperforming existing techniques in preliminary tests.

Undergraduate Researcher

Independent Project

Affiliated to: Networks and Security Lab (IIITD)
Advisor: Prof. Sambuddho Chakravarty
Grade: A

• Developed an anti-censorship system using instant messaging apps, ensure web browsing quality; acknowledged in ASIA CCS 2021 publication.

Software Engineer

Microsoft, India

• Developed an automated test framework for Android devices.
• Mentored an undergraduate intern on creating automation pipelines for environment setup and test execution.

Software Engineer Intern

Microsoft, India

• Developed a Linux kernel driver and an Android app to identify device configuration issues without specialized hardware; received a pre-placement offer.

Dean's List Award for Academic Excellence

IIITD

Recipient for 3 years in a row for achieving an annual GPA exceeding 9.0/10.0.

Member of various student clubs

IIITD

Achieved a top 3 ranking in the recruitment contests of the competitive programming (FooBar), software development (Byld) and cybersecurity (d4rkc0de) clubs.

School Head Boy

Research Mentoring Platform

IIITD

Advisors: Prof. Pankaj Jalote (IIITD), Prof. Supratik Chakraborty (ACM, IIT-B), Dr. Debjani Bhattacharya (INAE)

• Led the development of an online platform for ACM India and INAE, connecting established researchers with aspiring students to advance their research careers.

Security Engineering

IIITD (Course projects)

Instructor: Prof. Sambuddho Chakravarty
Grade: A

• Implemented ACL in Linux using xattr (in C) which overrides DAC permissions.
• Implemented a file encryption, signing and verification tool using OpenSSL.
• Performed ROP and Buffer Overflow exploits to spawn a shell on a test binary. Used GDB to inspect memory contents and debugging, and wrote shell scripts for automation.

Network Security

IIITD (Course projects)

Instructor: Prof. Bijendra Nath Jain
Grade: A

• Implemented DES block cipher from scratch in C.
• Created a simulation from scratch (in Python) where clients register their public keys with the Certificate Authority (which signs them with its private key) and use it to communicate with other clients by first verifying each other's public key.
• Created a Kerberos simulation from scratch (in Python).
• Applied the concepts learnt above in implementing real life simulations (in Python) such as on-the-go secure driving license check and health certificate systems.

Statistical Machine Learning

IIITD (Course projects)

Instructor: Dr. A V Subramanyam
Grade: A

• Developed a Machine Learning solution which colorizes a grayscale image using segment synthesis.
• Implemented Principal Component Analysis, Fisher's Discriminant Analysis, Decision Trees, Random Forests, Bagging, Boosting, Linear and Gaussian Process Regression from scratch (using NumPy).

Computer Networks

IIITD (Course projects)

Instructor: Prof. Bijendra Nath Jain
Grade: A

• Simulated a computer network using ns-3 - its topology, packet generation (using Poisson distribution), routing tables, link capacities, packet drop probabilities and measure one-way delays, queue lengths etc.
• Implemented Go-Back-N protocol and tested it in a simulation using socket programming.

Computer Graphics

IIITD (Course project)

Instructor: Dr. Ojaswa Sharma
Grade: B

• Created an interactive real-time Volumetric Renderer using Volume Raycasting in modern OpenGL and Qt Creator.

Computer Vision

IIITD (Course project)

Instructor: Dr. Koteswar Rao Jerripothula
Grade: A-

• Trained Deep Learning models to perform foreground extraction, classification with circlization and semantic segmentation on the MNIST dataset.
• Implemented and applied techniques such as Otsu's algorithm, saliency maps, Spatial Pyramid Pooling (SPP), histogram based foreground extraction, SLIC superpixels, filters such as Prewitt filter.

Teaching Assistant

Introduction to Programming (CSE 101), IIITD

Instructors: Prof. Bijendra Nath Jain, Prof. Raghava Mutharaju

• Created assignments, programming contests and labs for a cohort of 570+ students.
• Managed 37 students, conducted weekly tutorials and demos, and graded submissions.

Founding Member

Program for Interview Preparation, IIITD

• Led an initiative to streamline coding interview preparation by curating reading materials and practice resources, organizing online contests, and conducting editorial sessions to discuss solutions and alternative approaches, covering key interview topics.

Speaker

Software Development and Competitive Programming clubs, IIITD

• Taught live sessions Flask, p5.js, processing.js, graph theory and recursion.