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argha ray

Argha Ray

Bengaluru, India

argha.dev · GitHub · LinkedIn

Last updated: April 2026 · Download PDF


Software engineer with nine years in production backend systems. Currently at Motorola Solutions — RBAC engines, HA PostgreSQL, deployment tooling, cross-service integrations across the WAVE PTX platform. Outside of work, deep into harness engineering — building the infrastructure layer that wires agents to tools, memory, and the real world. Built a 24/7 autonomous agent with its own cognitive architecture, structured knowledge system, and reasoning loops. Practitioner of context engineering: designing what goes into an agent’s context window and why. Looking for roles at the intersection of agent systems and production-grade engineering.


Work Experience

Senior Software Engineer — Motorola Solutions

Aug 2021 – Present · Bengaluru, India · Engineer → Senior (Aug 2023)

WAVE PTX is Motorola’s subscription-based push-to-talk platform connecting teams across devices, networks, and locations. Worked across multiple codebases and teams — from the main provisioning portal to backend microservices to serverless device cloud infrastructure.

2026 — Microservices & Platform DB Teams

2025 — OnePortal & Device Cloud Services

2023–2024 — OnePortal Full-Stack

Full-stack ownership of Motorola’s multi-tenant provisioning portal — Angular frontend + ASP.NET Core backend with 90+ database entities.

2021–2022 — OnePortal Ramp-Up


Software Engineer — First American (India)

Apr 2019 – Aug 2021 · Bengaluru, India · 2 yrs 5 mos

Properties Team:

Eagle-Status Team:


Member Technical Staff — First American (India)

Aug 2017 – Mar 2019 · Bengaluru, India · 1 yr 8 mos


Technical Trainee — First American (India)

Feb 2017 – Aug 2017 · Bengaluru, India · 7 mos


Side Projects

Vesper — Personal AI Agent

Python, FastAPI, Claude API, SearXNG

24/7 autonomous agent on a VPS. Telegram bot with cognitive architecture — seven modes of engagement, emotional signal detection, scheduled reviews, auto-research loops, wiki compilation. Guest web chat at vesper.argha.dev. Git-synced knowledge base (Helix) with 3,000+ markdown files. Docker on Oracle ARM VPS behind Cloudflare Tunnel.

TVOD Streaming Platform

NestJS, React, Shaka Player, Bunny Stream, PostgreSQL

Transactional video-on-demand platform. Two versions — self-hosted HLS (zero cost) and Bunny Stream CDN with per-segment token auth. Stream session tracking, JWT auth, same-origin reverse proxy. Swapping the delivery layer required zero changes to auth, sessions, or the player.

harnesskit — Agent Orchestration Framework

TypeScript, Model-Agnostic

Open-source framework extracting production agent patterns into reusable modules: tool registry, permission engine, query loop, context manager with cache-aware compaction, agent spawner, hook system, and model router. Three intelligence levels — rule-based (no model), hybrid (local model), full agent (cloud model) — same architecture across all three.

Helix — Personal Knowledge System

Markdown, Git, Python

Structured knowledge base that replaced a vector database. Four-layer architecture: immutable raw sources, active goals/decisions/journal, personal context, and cognitive architecture. Git-synced across MacBook, GitHub, and VPS.

Jira Ticket Creator

JavaScript, VS Code Extension API, Copilot LM API

Zero-dependency VS Code extension for creating Jira tickets with AI. Single and bulk ticket creation. Cookie auth for enterprise Jira behind SSO/IAP. Distributed to team via GitHub Releases.

OnlineExam

.NET 9, Clean Architecture, PostgreSQL

College project rewritten a decade later — Carter endpoints, MediatR CQRS, EF Core 9, xUnit, GitHub Actions CI. Twenty-plus endpoints with auto-grading.

argha.dev

Astro, Tailwind CSS, Cloudflare Pages

Personal blog and portfolio. Technical writing on streaming architecture, agent memory systems, and infrastructure.


Technical Skills


Education

B.E. Computer Science — Atria Institute of Technology (now Atria University), Bengaluru · 2012–2016

First Class with Distinction

Certifications: AWS Technical Essentials · Architecting On AWS


Publications

Crop disease classification using texture analysis

2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)

Image processing for sunflower crop disease detection using k-means clustering and ML classifiers (KNN, SVM, Naive Bayes, Logistic Regression). Accepted to IEEE Xplore.

ieeexplore.ieee.org/document/7807942


Achievements