Open to AI / Software Engineering roles — May 2026

Building intelligent,
full-stack systems
with AI at the core.

I’m Jaiharishan — an AI software developer who turns research into production. CS grad student at UF, comfortable across Python, Go, TypeScript, and the modern ML + cloud stack.

See my work Download Resume GitHub LinkedIn Email
98.5%
ML model accuracy
5k+
Users served
7+
Languages shipped
90%+
API test coverage

Tools I reach for

Python·TypeScript·Go·React·Next.js·Node·TensorFlow·PyTorch-ready·Docker·Kubernetes·AWS·GCP·PostgreSQL·MongoDB·Redis·Kafka·GraphQL· Python·TypeScript·Go·React·Next.js·Node·TensorFlow·PyTorch-ready·Docker·Kubernetes·AWS·GCP·PostgreSQL·MongoDB·Redis·Kafka·GraphQL·

About

A researcher who ships, an engineer who reasons.

I’m a Master’s candidate in Computer Science at the University of Florida, graduating May 2026. My work sits at the intersection of applied AI and scalable backend engineering — from ResNet–Vision Transformer hybrids for medical imaging to actor-model distributed systems in Go.

I’ve built dashboards used by thousands, designed JWT/OAuth flows, containerized services with Docker, and shipped React/Next.js frontends with real-time collaboration. I care about clean APIs, 90%+ test coverage, and code that reads like prose.

Right now I’m most excited about LLM tooling, agentic workflows, and the part of AI engineering that lives between the model and the user.

📍 Gainesville, FL 🎓 M.S. CS · UF · 2026 🤝 Open to FT & internships

Skills

The stack I move in.

Comfortable across the full path — from training a model in a notebook to deploying it behind a typed API in production.

AI Agents & LLMs

Where I’m investing the most.

LangChain LangGraph Ollama n8n LLMs (OpenAI, Claude, Llama) AI Agents RAG Vector DBs (Pinecone, Chroma) Embeddings Prompt Engineering Function Calling MCP Hugging Face Workflow Automation

Languages

Python TypeScript Go Java C++ JavaScript SQL Scala Pony

AI / ML

TensorFlow Keras Transformers CNNs Computer Vision OpenCV NumPy Pandas

Frontend

React Next.js Tailwind Redux ChakraUI Cypress HTML/CSS

Backend & APIs

Node Express Django Flask Gin (Go) GraphQL gRPC JWT / OAuth

Data & Infra

PostgreSQL MySQL MongoDB Redis Kafka Spark Firebase

Cloud & DevOps

AWS GCP Docker Kubernetes Linux / Bash Git

Experience

A timeline of building things.

  1. Machine Learning Researcher

    May 2023 — Jul 2023

    NIT Tiruchirappalli · Tamil Nadu, India

    • Engineered a ResNet + Vision Transformer hybrid for medical image classification on the DRAC dataset.
    • Achieved 98.5% accuracy and a 0.93 kappa score, outperforming traditional models.
    Python TensorFlow Keras CNN Transformers

  2. Software Developer Intern

    May 2022 — Jul 2022

    Solgames.fun · Bangalore, India

    • Led user dashboard development, lifting retention by 50%.
    • Designed a secure auth framework that cut account breaches by 50% across 2,000+ users.
    React TypeScript Redux Web3.js Docker

  3. Software Engineer — LYNX

    Sep 2021 — Jan 2022

    Spider R&D · NIT Trichy

    • Built backend for a campus social platform serving 5,000+ users.
    • Streamlined auth with JWT; shipped full-text search that lifted engagement by 75%.
    • Authored automated API tests, cutting dev time by 20%.
    Node JWT REST
    View on Play Store

Projects

Selected work.

A few things I built end-to-end — from architecture to deploy.

Featured 2025

Event-Driven ML System — Kafka × Image Classification

Production-style event-driven microservices for high-throughput ML inference

A horizontally scalable, event-driven architecture for async image classification at scale. A Node.js ingestion API publishes jobs to Kafka; a Python ML inference service (consumer group) classifies in parallel; a results service streams status back to a Next.js frontend. Fully Dockerized with NGINX, load-tested with autocannon, and tunable via Kafka partitions + replica scaling.

Pattern
Event-driven · Async
Scaling
Horizontal · Partitioned
Backpressure
Kafka-buffered
Kafka Python ML Node.js Next.js TypeScript Docker Compose NGINX Microservices
View on GitHub

Zine — Full-stack Journaling Platform

Jan 2025 — Apr 2025

Personal

Full-stack journaling app with JWT/OAuth, AWS S3 storage, real-time collaboration via LiveBlocks, and a BlockNote rich editor. Redis caching, Swagger docs, Docker, and 90%+ test coverage across 15+ endpoints.

Next.js Go MongoDB Redis AWS S3 Docker
View on GitHub

Reddit Engine — Distributed Backend

Sep 2024 — Nov 2024

Coursework

Reddit-style API in Go with 12+ REST endpoints, actor-based concurrency via ProtoActor, Protocol Buffers, and gRPC. Includes voting/karma, nested comments, and direct messaging.

Go Gin gRPC ProtoActor Docker
View on GitHub

ResNet × Vision Transformer — Medical Imaging

May 2023 — Jul 2023

Research

A hybrid CNN–Transformer architecture for medical image classification on the DRAC dataset. The model captures local spatial features (ResNet) and long-range dependencies (ViT), reaching 98.5% accuracy with a 0.93 kappa — beating standalone baselines.

Python TensorFlow Keras ViT CNN Google Colab

Education

Where I trained.

University of Florida

May 2026

M.S. in Computer Science · Gainesville, FL

Database Management · Advanced Data Structures · Computer Networks

NIT Tiruchirappalli

May 2024

B.Tech. · Production Engineering · India

Web Technology · Foundations of Programming · DAA · Software Project Management

Let’s talk

Got an idea? I’d love to hear it.

Whether it’s a full-time role, an internship, or just a thoughtful AI side project — my inbox is open.

jaiharishanav@gmail.com GitHub LinkedIn