Mohit Ramesh

AI Engineer · Python · LangChain · FastAPI

Bengaluru, Karnataka, India

@myoohit

0 followers

🎓 B.E. in Computer Science & Engineering at T. John Institute of Technology · Graduating 2026

About

AI Engineer and Computer Science student focused on building and shipping LLM-powered applications end to end. Experience includes full-stack web apps, multi-agent research pipelines, and audio classification, with a strong bias toward debugging deeply and delivering practical results.

Experience

Python Full Stack Intern

Dhee Coding Lab · Bengaluru

Jan 2026 – May 2026

Spent 5 months working alongside senior engineers on full-stack web apps and backend APIs, mostly in Python, Django, and REST. Read and extended an existing codebase, turned requirements into backend features tied to a relational database, and participated in daily standups and code reviews.
Freelance UI/UX Designer

Dobbespet Public School Link

Feb 2025 – Mar 2025

Worked directly with a school client to gather requirements and build wireframes and clickable Figma prototypes. Iterated through client feedback rounds and adjusted designs accordingly.

Education

B.E.

T. John Institute of Technology

Computer Science · 2022 – 2026

Skills

3 to 6 months

Python Django

<3 months

SQL CSS RAG HTML FastAPI XGBoost Bootstrap Streamlit LangChain Embeddings Tailwind CSS Random Forest Prompt Engineering API Integration Understanding Convolutional Neural Networks

Tools / apps / platforms

<3 months

Git Figma GitHub Render SQLite Vercel VS Code

Projects

Baby Cry Translator ↗

Python, CNN, Librosa

Built an audio classifier to identify baby cry meanings such as hunger, discomfort, and tiredness using MFCC and spectrogram features. Evaluated CNN against XGBoost and Random Forest; the CNN achieved about 91% test accuracy and was selected for Edunet Foundation's Regional Showcase.
Tweet-Web Application ↗

Django, SQLite, HTML/CSS, Bootstrap

Built a Twitter-style web app with sign up, login, profile management, posts with images, follow/unfollow, and a personalized feed.
Multi-Agent Research Pipeline ↗

Python, LangChain, FastAPI, React, Render, Vercel

Built a 4-agent research pipeline with a FastAPI streaming backend, React frontend, live agent-flow UI, streaming output panel, and PDF export. Deployed backend on Render and frontend on Vercel.

Courses & certifications

Responsible & Safe AI Systems · NPTEL
Applied Artificial Intelligence: Practical Implementations · Edunet Foundation (TechSaksham, Microsoft & SAP)

🏆 Achievements & awards

Ranked #981 of 3,062 in HackerRank's Orchestrate challenge · 2026

Placed in the top 32% globally for building and deploying an AI agent.
50-day problem-solving streak on LeetCode

Maintained a 50-day streak on LeetCode.

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