Adarsh Ajila

Software Engineer | Full-Stack Developer

Mumbai, IN.

About

Highly motivated Full-Stack Developer with emerging expertise in GenAI, seeking to leverage advanced development skills to build cutting-edge AI-powered products. Committed to continuous learning and innovation within dynamic, high-ownership environments.

Work

UST Global

|

Developer-I Software Engineering

→

Summary

Actively contributing to a GenAI team, focusing on integrating advanced GenAI capabilities into the software development lifecycle. Spearheaded the development of a key platform and optimized application performance using cloud services.

Highlights

Contributed to a GenAI team, integrating advanced GenAI capabilities into the software development process.

Acquired and applied proficiency in key technologies including Spring Boot, Microservices, JWT Security, Docker, Kubernetes, AWS, and React.

Spearheaded the end-to-end development of the QuickFix Home Services platform from scratch.

Collaborated cross-functionally to optimize application performance and scalability through strategic implementation of cloud services.

Education

Alvas Institute of Engineering and Technology, Mangalore

→
Bachelor of Technology (B.Tech) Computer Science and Engineering Grade: 8.42 CGPA

Viva College Mumbai

→
HSC Higher Secondary Education Grade: 72.00%

National English High School Mumbai

→
SSC Senior Secondary Education Grade: 87.60%

Skills

Programming Languages

Java, Python, C, C++.

Frameworks & Libraries

Spring Boot, React, Flutter, LangChain.

Databases

MongoDB, MySQL, FAISS VectorDB, Pinecone.

Cloud & DevOps

AWS, Docker, Kubernetes, Firebase.

Tools & Platforms

JWT Security, Microservices, RAG Pipelines, Postman, GitHub, Figma, Android Studio, Azure OpenAI API, FastAPI, Vector Embeddings.

Non-Technical Skills

Communication Skills, Teamwork, Problem-Solving, Time Management.

Projects

RAG-Based Connectors Project

→

Summary

Developed a Retrieval-Augmented Generation (RAG) system that integrates with platforms like GitHub, Jira, Confluence, and Slack. This system indexes data into a FAISS vector database, enabling natural language queries that return accurate answers along with direct URLs to the source content.

QuickFix Home Services

→

Summary

Developed a comprehensive platform that connects homeowners with reliable service providers for plumbing, electrical, and other essential home services.