Vansh Gurnani

Backend / Machine Learning Engineer

Jaipur, IN.

About

Highly accomplished Computer Science junior with 2+ years of experience in cloud-native backend and machine learning microservices. Proven ability to deliver high-performance solutions, including deploying 100+ production REST APIs on AWS Lambda, reducing MongoDB aggregation latency by 40%, and optimizing CNN/BiLSTM models to sustain 500ms P99 response. Seeking Backend or Machine Learning Engineering roles to apply expertise in Python, Node.js, Flask, MongoDB, AWS, and TensorFlow, backed by a strong track record as a published inventor and hackathon medalist.

Work

Black Cherie Media

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Backend Developer Intern

Pune, Maharashtra, India

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Summary

Contributed to the development and optimization of a digital-media SaaS platform, enhancing backend infrastructure and ensuring high availability for 10,000+ daily users.

Highlights

Engineered, built, and maintained 100+ production REST endpoints using Node.js/Express, supporting a digital-media SaaS platform used by over 10,000 daily users.

Secured the platform by implementing OAuth 2.0 and JWT with robust role-based access, achieving zero unauthorized incidents throughout the internship.

Optimized database performance by introducing compound indexing and streamlining MongoDB aggregation pipelines, reducing average query time by 40% (from 900ms to 550ms).

Deployed and managed serverless functions on AWS Lambda, stored assets in S3, and configured CloudWatch alerts, ensuring 95%+ uptime during critical peak traffic periods.

Collaborated within a 25-member Agile squad, leveraging GitLab CI/CD pipelines to facilitate weekly releases and resolve production defects within a 24-hour SLA.

Volunteer

Frontend Developer (Volunteer)

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Texephyr Techfest

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Developed and optimized the official Texephyr Techfest website, ensuring high performance and accessibility for over 10,000 visitors.

Highlights

Developed and launched the official festival website, successfully supporting over 10,000 unique visits during the Texephyr Techfest event.

Enhanced user experience by boosting page-load speed by 35% through the implementation of code-splitting, lazy loading, and advanced asset compression techniques.

Collaborated effectively with event organizers to translate design concepts into a functional and visually appealing online platform, meeting project timelines.

Head, Computer Society of India – MIT-WPU Chapter

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MIT World Peace University

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Led the Computer Society of India chapter, overseeing event organization and team management to foster a vibrant tech community for over 300 students.

Highlights

Directed a 12-member core team in organizing six impactful tech events and hackathons, engaging over 300 students in skill development and innovation.

Successfully secured sponsorships and strategic partnerships, increasing event funding by 20% compared to the previous year's budget.

Managed all logistical and promotional aspects of events, ensuring seamless execution and high participant satisfaction for attendees.

Education

MIT World Peace University

Pune, Maharashtra, India
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Bachelor of Technology Computer Science Engineering

Courses

Data Structures and Algorithms

Object-Oriented Programming

Database Management Systems

Operating Systems

Machine Learning

Cloud Computing

Web Development

RESTful API Design

Awards

Student Achievers Award

MIT-WPU

Recognized for academic excellence and contribution to an AI patent.

3rd Place - HACK-MITWPU 2024

MIT-WPU

Awarded for a deployable deep-learning project.

Publications

Emotion Communication Method for Humans Animals

Indian Patent Office

Lead inventor on an Indian Patent Application (No. 202521038338) for an innovative method in emotion communication.

Languages

English

Hindi

Certificates

Data Science Machine Learning

Udemy

Full-Stack Web Development

Udemy

Data Visualization with Python

IBM SkillsBuild

Skills

Backend Development

Cloud-Native Backend Development, REST API Design, Serverless Architecture, Node.js, Express, Flask, Python, JavaScript, Java.

Machine Learning

Machine Learning Engineering, TensorFlow, Keras, CNN, BiLSTM, Pandas, NumPy, AI Stock-Trend Prediction, Pet Emotion Detection.

Cloud & DevOps

AWS Lambda, AWS EC2, AWS S3, AWS CloudWatch, Git, GitHub CI/CD, GitLab CI/CD, Render, CI/CD Automation.

Databases

MongoDB, MySQL, SQL/NoSQL Design, Database Performance Optimization.

Project & Team Management

Agile/Scrum Collaboration, Team Leadership.

Projects

Pet Emotion Detection API

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Summary

Developed an API for pet emotion detection using physiological samples, aiming to classify emotions across multiple categories.

Profit Pandit – AI Stock-Trend Prediction

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Summary

Developed an AI-powered stock trend prediction system that analyzes candlestick-chart images to forecast market movements.