Vaishnav Mukund Mankar

Pune Institute of Computer Technology

2023–2027

B.E. Computer Engineering

CGPA: 9.2

Global Public School

2023

Class XII (HSC)

Score: 80%

Ryan International School

2021

Class X (SSC)

Score: 90%

AI Developer Intern

Aug 2025 – Feb 2026

Across The Globe (Remote)

• Contributed to backend components of an AI-driven educational content generation pipeline producing personalized multi-language video content.

• Optimized AWS Lambda execution time from ~20 minutes to ~14 minutes (~30% improvement), improving system efficiency and reducing compute cost.

• Developed internal automation tools including Markdown-to-PDF conversion and architecture diagram generation workflows.

• Assisted in building a document-grounded RAG system for answering internal queries and generating explanatory summaries.

Tech Stack: Python, TypeScript, WebSockets, Whisper, and Google Gemini AI.

• Built a chat platform that translates medical conversations instantly between different languages for doctors and patients.

• Achieved ultra-fast translation (under 200ms), ensuring seamless real-time communication.

View on GitHub

Tech Stack: SolidJS, TypeScript, and Serverless Functions.

• Developed a suite of high-performance developer utilities including Markdown-to-PDF and LaTeX-to-PDF converters.

• Streamlined documentation workflows, achieving near-instant conversion and seamless user interaction.

View on GitHub

Tech Stack: Python, LangChain, Vector Databases, and Large Language Models (LLMs).

• Created an AI tutor that helps students by using only verified textbook information to ensure 100% accurate answers.

• Prevented AI "hallucinations" by grounding responses in official curriculum data.

View on GitHub

Tech Stack: React, FastAPI, PostgreSQL, Google Gemini, and Docker.

• Engineered a private "Google Photos" alternative that allows users to search for images using natural, descriptive sentences.

• Enabled instant search and automatic image tagging while keeping 100% of user data on their own server.

View on GitHub

IEEE International Conference

• {“Published "GNN-Based Friend Recommendation”=>”A Graph Embedding Approach for Social Networks" in an IEEE International Conference.”}

I like working out, hiking, gaming, chasing after sunsets, and spending time with friends and family.

Python, Rust, SQL, TypeScript, JavaScript

FastAPI, React, Next.js, LangChain

AWS/Azure, Git, Linux, PostgreSQL, MongoDB

Data Structures & Algorithms, Distributed Systems, System Design, NLP, RAG