Software Engineer

Akshit Panapuzha

Building full-stack systems, data pipelines, and production AI tooling.

At Enveda Therapeutics, I build scalable APIs, ETL pipelines, and data services on Databricks and PostgreSQL for scientific platforms processing millions of records. Previously co-founded URunner, leading backend architecture on Azure for a global product across 65+ countries.

Featured Projects

Projects that reflect how I approach architecture, delivery, and engineering quality in production-style environments.

FEATURED

Skin Burn Detection

A study on the use of the Faster RCNN R101 R101 FPN model within the Facebook detectron2 model zoo on the analysis of the detection of multiple levels of burn injuries within the same image with the use of an augmented dataset for training.

Updated Apr 7, 2026

Python

FEATURED

Agentic Github Qa Check

Project synced from GitHub.

Updated Apr 7, 2026

Python

FEATURED

Agentic Github Pr Check

Project synced from GitHub.

Updated Apr 6, 2026

Python

Career

A track record across product engineering, data infrastructure, and AI systems.

Jan 2025 – Present · Enveda Therapeutics

Software Engineer II

Python · REST APIs · Databricks · PostgreSQL · Docker · K8s

Jan 2022 – Present · URunner

Co-Founder & CTO

.NET Core · Azure · SignalR · Stripe · CI/CD

Jun 2024 – Aug 2024 · Enlyte – Mitchell

ML Engineer Intern

TensorFlow · OpenCV · Computer Vision

Jan 2024 – Feb 2024 · Novizant

Software Engineer

Azure · Blob Storage · Cloud Infrastructure

Jul 2023 – Sep 2023 · SkillDirector

Software Engineer

Web Apps · REST APIs · Data Pipelines

Jan 2022 – May 2022 · truData Solutions

AI/ML Engineer

Azure · Recommendation Systems · ML Pipelines

Technical Stack

A practical toolbox shaped by building systems that move from prototype to production.

Frontend

React, Next.js, TypeScript, React Native

Backend

Python, Go, FastAPI, .NET Core, REST APIs, gRPC

Cloud

AWS, Azure, Docker, Kubernetes

Data

PostgreSQL, Databricks, DuckDB, ETL pipelines, Prefect

AI / ML

LLM APIs, RAG workflows, TensorFlow, OpenCV, tool-calling agents

Building something complex and high-impact? Let's work on it.

I work best on products that need strong engineering fundamentals across backend, data, and full-stack delivery.