NAKUL MANTRI

Software Engineering Intern | Full Stack Developer
Surat, IN.

About

Highly analytical and results-driven Computer Science Engineering student with expertise in full-stack development, deep learning, and system optimization. Proven ability to enhance system performance by up to 50%, automate complex data pipelines, and develop robust, scalable applications. Seeking to leverage strong technical skills and problem-solving abilities in a challenging software engineering role.

Work

IIT Delhi
|

Software Engineering Intern under Prof. Chetan Arora

New Delhi, Delhi, India

Summary

Currently serving as a Software Engineering Intern, focusing on deploying deep learning models and optimizing AI pipelines for medical imaging applications.

Highlights

Deployed 8 deep learning models on Jetson AGX Xavier, Jetson Nano, and cloud servers, utilizing Docker and NGINX to enable real-time medical image inference with sub-second latency.

Integrated AI pipelines with Orthanc DICOM Server via Lua scripting, automating 100+ DICOM imaging requests from AIIMS Delhi for seamless radiologist access.

Enhanced system responsiveness by 50% through Redis caching, API refactoring, and request batching, significantly reducing DB load and optimizing backend performance under peak traffic.

Volunteer

IIIT Surat
|

Training and Placement Coordinator

Surat, Gujarat, India

Summary

Coordinated comprehensive placement activities for students, fostering strong relationships with companies and streamlining recruitment processes.

Highlights

Coordinated placement activities for 120+ students and 20+ companies, achieving a 70% placement success rate.

Streamlined placement processes, resulting in a 37% increase in operational efficiency for the department.

Education

Indian Institute of Information Technology, Surat
Surat, Gujarat, India

BTech

Computer Science and Engineering

Grade: CGPA - 9.12

The Aditya Birla Public School
Veraval, Gujarat, India

Class XII

CBSE

Grade: Percentage - 95%

Awards

Top 0.5% in CodeRush 2024

Awarded By

AlgoUniversity

Secured a position in the top 0.5% of CodeRush 2024, a prestigious coding competition hosted by AlgoUniversity, demonstrating exceptional problem-solving and algorithmic skills.

Rank 842 in Weekly Codechef Contests

Awarded By

Codechef

Achieved a rank of 842 in one of the weekly Codechef contests, showcasing consistent performance and proficiency in competitive programming.

Skills

Programming Languages

C, C++, Python, JavaScript, SQL, NoSQL, Lua, Java.

Databases

MongoDB, MySQL, PostgreSQL, SQLite, Redis.

Frameworks & Libraries

React.js, Node.js, Express.js, Socket.io, REST API, PyTorch, TensorRT, Celery.

Tools & Platforms

Docker, Triton Inference Server, Orthanc DICOM, Jetson (AGX Xavier, Nano), OHIF Viewer, VS Code, Sublime Text, GitHub, LaTeX, Linux, Microsoft Azure, Postman.

Projects

Weatherify

Summary

Developed a full-stack weather monitoring platform leveraging React.js, Django, and SQLite, featuring dynamic UI and efficient data management.

Chatly

Summary

Engineered a real-time chat system using Node.js, Socket.io, MongoDB, and EJS, supporting concurrent conversations and delivering instant updates.

Travelago

Summary

Built a comprehensive travel planning platform with dynamic itineraries, location-based suggestions, and travel history tracking using React, Node.js, MongoDB, and Tailwind.