
Ashith Joswa Fernandes
@ashithjoswafernandes
I build end-to-end web and AI applications, from production APIs to LLM and computer-vision pipelines.
What I'm looking for
I've built production web and AI applications spanning frontend, backend, REST APIs, databases, authentication, and CI/CD.
As a freelance full-stack developer, I architected and deployed s4holidays.com, a MERN travel platform serving 80+ packages. I improved page load by 30% through MongoDB query and React rendering optimization, and automated releases with GitHub Actions.
At St Aloysius Research Lab, I engineered a Python diagnostic system combining computer vision and ML models that reached 85% classification accuracy. I also built an OpenCV pipeline that reduced manual preprocessing time by 60%.
I've shipped an AI Email Copilot with FastAPI, Next.js, PostgreSQL, Google OAuth, Gmail API, and GroqAPI, and built a PDF RAG Chat Assistant using LangChain and Chroma. My open-source work includes merged fixes and contributions to LlamaIndex and Hugging Face PEFT.
Experience
Work history, roles, and key accomplishments
Research Intern - AI/ML Pipeline Engineering
St Aloysius Research Lab
Dec 2025 - Mar 2026 (3 months)
Engineered a Python diagnostic system combining computer vision and ML models, reaching 85% classification accuracy. Architected an automated OpenCV image-processing pipeline on Linux, cutting manual preprocessing time by 60%.
Freelance Full-Stack Developer
S4 Holidays
Sep 2025 - Jan 2026 (4 months)
Architected and deployed a production MERN travel-showcase platform with RESTful APIs serving 80+ packages. Implemented JWT authentication and RBAC, optimized MongoDB queries and React rendering, improving page load by 30%.
Education
Degrees, certifications, and relevant coursework
St Aloysius Deemed to be University
Master of Science, Software Technology
2024 -
Grade: CGPA 7.7
Pursuing M.Sc. in Software Technology with a CGPA of 7.7.
Padua College of Commerce and Management
Bachelor of Computer Applications, Computer Applications
2021 - 2024
Grade: CGPA 7.35
Completed B.C.A. with a CGPA of 7.35.
KGTTI Mangaluru
CCNA Professional, Networking
Completed 210 hours of rigorous, hands-on networking training as part of CCNA professional certification.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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