EEVEON / PORTFOLIO
Portrait of Adarsh Sinha
Adarsh SinhaPortrait / 2026
Adarsh SinhaBackend + AI product engineerIndiaResume snapshot / March 2026

Backend systems and AI products, built end to end.

Adarsh builds APIs, data systems, machine learning integrations, and the production foundations around them.

01 / THE WORK

Four systems. One product practice.

Each project solves a different problem without hiding the engineering underneath.

01Developer infrastructure / Open source

EEVEON Deploy

A lightweight deployment system for taking code from GitHub to owned servers, with command-line workflows for configuration, releases, logs, secrets, approvals, and rollback.

Focus
Deployment and production operations
Role
Product engineering and implementation
  • Python + shell
  • GitHub
  • Linux servers
View repository
02Meeting operations / Web product

EEVEON Meetings

A backend and web product for meeting ingestion, transcripts, generated minutes, recurring standups, organization access, and subscription handling.

Focus
Turning conversations into usable records
Role
Product and full-stack engineering
  • FastAPI
  • Postgres
  • React
View repository
03Database tooling / Desktop application

EEVEON Watchtower

A local-first desktop control center for PostgreSQL, MongoDB, and Qdrant, covering saved connections, browsing, queries, result inspection, export, and history.

Focus
A calmer way to work across databases
Role
Product engineering and desktop architecture
  • Electron
  • React
  • TypeScript
View repository
04Company site / Web experience

EEVEON Studio

The EEVEON company site: a statically exported Next.js experience with editorial sections, system-aware theming, optional ambient audio, and restrained interaction details.

Focus
Explaining the work without adding noise
Role
Direction, design, and frontend engineering
  • Next.js
  • React
  • TypeScript
Visit EEVEON
02 / EXPERIENCE

Five roles across backend, data, infrastructure, and AI.

Career history through March 2026, distilled from the resume.

01Current

Software Engineer

goML / India

  • Developing backend systems and AI-driven applications for scalable production deployment.
  • Building APIs and services for machine learning workflows, model integration, and automation.
  • Improving system performance, maintainability, and deployment processes with cross-functional teams.
02

SDE 2

Vakeel AI / India

  • Developed scalable REST APIs and backend systems for high-throughput legal technology applications.
  • Managed Proxmox and LXC infrastructure, containerized services with Docker, and implemented load balancing.
  • Orchestrated cloud infrastructure with CI/CD and infrastructure-as-code practices for cloud-native and AI workflows.
03

Data Engineer

CertifyOS / New York, USA

  • Developed automated data workflows and ETL pipelines with Python and Apache Airflow.
  • Integrated APIs and data sources into unified backend architectures.
  • Explored GCP and Vertex AI for pipeline scalability and model integration.
04

Associate Software Engineer

Proeffico Solutions / Noida

  • Built backend systems integrated with machine learning services for production software.
  • Developed DocGPT for privacy-aware text summarization, entity extraction, and bulk data analysis.
  • Mentored junior developers and maintained CI/CD pipelines with Jenkins and GitHub Actions.
05

Software Developer Fullstack Intern

TechLadd / Pune

  • Developed backend APIs with Django REST Framework and frontend systems with React.
  • Implemented REST APIs for robust client-server interactions.
  • Tested, profiled, and optimized backend performance.
04 / EDUCATION

Computer engineering, from foundations to applied AI.

B.E. in Computer Engineering

Thapar Institute of Engineering and Technology / Punjab, India

Specialized in Artificial Intelligence and Data Engineering, with work across backend development, cloud computing, scalable systems, and research.

Diploma in Computer Engineering

Sri Sairam Polytechnic College / Tamil Nadu, India

Built foundations in programming, algorithms, backend development, and database systems.

05 / PUBLISHED RESEARCH

Medical Image Fusion Using Improved Dual-Channel PCNN

Published in Springer Nature

A medical image fusion pipeline in the NSST domain using an Improved Dual-Channel Pulse-Coupled Neural Network.

  • Combined grayscale and pseudo-color images with Prewitt edge extraction and Maximum Regional Energy.
  • Evaluated 28 image pairs against 11 baseline methods using 9 objective metrics.
28
image pairs
11
baseline methods
9
objective metrics
06 / INDEPENDENT AI WORK

Selected applied AI projects.

01

Generative AI Chatbot Backend

A scalable conversational AI backend optimized for low-latency inference and production deployment.

  • Meta LLaMA
  • Backend APIs
02

Pose Detection System

Real-time human pose detection pipelines with backend inference APIs for live processing.

  • TensorFlow
  • Inference APIs
03

OCR API Service

An OCR backend API for document digitization and text extraction.

  • EasyOCR
  • Backend APIs
09 / CONTACT

What should become simpler?

A new product. A stubborn workflow. An integration that never quite fit. Tell us where the friction lives.

adarsh@eeveon.comNo pitch deck required.