Akhielesh
Akhielesh Srirangam
Fairfax, VA

AI Product Engineer

I build AI products, search systems, and workflow tools that hold up beyond the demo.

Atlas and DreamStream show the product side of my work; earlier roles show the reporting, automation, and data systems underneath it.

I care about usable interfaces, honest AI behavior, and the technical plumbing that makes a product hold up after the first impressive screenshot.

See live productsEmail meView recent experience

Live products

02

Recent roles

04

Core stack

Python + TS

Operating lens

Product thinking shaped by Python automation, data systems, analytics work, and hands-on full-stack delivery.

AI product builds
Product research + analytics
Python + SQL
TypeScript + React
Databricks + ADF
Search + workflow systems

Featured Work

Products I have actually built, shaped, and shipped into the open.

Atlas shows the connected-search and platform side of my work. DreamStream shows the workflow, UX, and orchestration side. Together they say more than generic skills copy ever could.

Atlas
Live beta
AI data management terminal

Atlas Beta / AI Data Management Terminal

A connected workspace terminal for searching, previewing, and managing approved data across files, docs, chat, code, design, and project tools from one place.

Product focus

Most teams already have the data they need, but it lives across too many systems. Atlas brings that sprawl into one terminal-like workspace for connected search, previews, and source-aware actions without pretending every connector works the same way.

My role + core stack

Product, platform, and full-stack engineering

Next.js 14
React 18
TypeScript
Prisma
PostgreSQL

What is live

  • Atlas already exposes 16 live connectors and keeps roadmap connectors separate instead of blurring what works now versus later.
  • The product is explicit about source-aware actions such as browse, search, preview, download, upload, and folder creation only where a connector truly supports them.
  • The beta surface is honest about manual onboarding, public updates, and current limitations, which makes the product feel authored instead of overpromised.
connected search
data management
connector architecture
permission-aware actions
full-stack TypeScript
search infrastructure
background jobs
beta product systems
Read case studyLive demoSource
DreamStream
Live beta
AI comic workflow platform

DreamStream Comic Studio / AI Comic Workflow Platform

An AI comic studio that takes stories from script through analysis, characters, world setup, storyboard, generation, lettering, polish, and export inside one guided workflow.

Product focus

Most AI creative tools stop at prompt in, image out. DreamStream handles the harder product problem: consistent characters, world context, story structure, queue-backed generation, billing, and export across a full comic workflow.

My role + core stack

Product, frontend, backend, and workflow orchestration

Vite
React 19
TypeScript
Express
Supabase

What is live

  • The landing flow already frames the product as an eight-step studio: idea, script, analysis, characters, world, storyboard, generation, and polish.
  • ComicForge adds a queue-backed production layer for generation, lettering, assembly, QC, and export instead of relying on a single synchronous demo path.
  • BYOK model routing, token-aware plans, auth, and job tracking make the workflow usable as a product rather than a thin wrapper around image generation.
comic workflows
multi-model orchestration
AI product UX
billing systems
queue-backed pipelines
full-stack TypeScript
creative tooling
Read case studyLive demoSource

Selected Outcomes

A few concrete results from the roles behind the product work.

The point here is not vanity metrics. It is showing the kinds of operational improvements, automation wins, and reporting outcomes I have already shipped in real teams.

Faster reporting turnaround

40%

Spacewalk Systems PMO workflows spanning Jira, ServiceNow, and HR reporting.

Manual status work removed

~15 hrs/wk

Budget and schedule deviation workflows that replaced repetitive PMO checks.

Business domains covered

7+

Automated visibility into data quality and metadata health across multiple business units.

Cross-functional experience

5 years

Work spanning product research, analytics, automation, data quality, dashboards, and AI product development.

Career Path

Recent roles across analytics, automation, and data-heavy delivery.

Over the past 5 years I have honed my skills at various organizations, building meaningful solutions and providing insights.

Spacewalk Systems

Data Analyst

Arlington, VA

Mar 2025 - Dec 2025

Built PMO reporting workflows and dashboard systems that combined Python, SQL, Azure Data Factory, and Power BI for executive portfolio visibility.

  • Engineered Python- and SQL-driven workflows across Jira, ServiceNow, and HR data, cutting reporting turnaround time by 40%.
  • Designed automated budget and timeline deviation alerts that removed manual status checks and saved the PMO team about 15 hours per week.

GSK (Contract)

Data Analyst

Collegeville, PA

Jun 2023 - Dec 2024

Built reusable data profiling and ETL automation on Azure Data Factory, Databricks, Python, and Power BI for enterprise data quality reporting.

  • Designed automated ETL pipelines in ADF and Databricks and packaged a customized Python profiler for SQL, CSV, Blob, Oracle, and MySQL data sources.
  • Integrated validation checkpoints, retries, and notification logic to make profiling and ingestion runs more reliable and easier to monitor.

Jacobs Engineering Group Inc.

IT Analyst / Data Automation Intern

Arlington, VA

Aug 2022 - May 2023

Supported IT portfolio analytics through Python log parsing, SQL-backed ETL, Power BI dashboards, and process standardization for demand intake and workforce planning.

  • Automated log parsing and ETL scripts to move unstructured operational data into structured reporting tables and dashboard feeds.
  • Standardized the Agile Demand Process and improved IT portfolio request delivery time by 25% through clearer workflow design.

Alphadynamcis

Product Research Analyst Intern

Chennai, India

Jul 2020 - Sep 2020

Produced client-facing research and reporting for educational product organizations, combining remote collaboration, analysis, and presentation support.

  • Generated Tableau-based reports that supported customer lead generation and product visibility for education-focused clients.
  • Collaborated remotely under short deadlines to prepare reports and presentation material for client meetings.

Education & Certifications

Formal training behind the product, data, analytics, and cloud work.

This section keeps the academic background visible, then highlights the most relevant certifications without turning the page into a badge wall.

Education

3 credentials

Master of Science in Information Systems Technology

The George Washington University, School of Business

Washington, DC, USA

Graduate Certificate in Cloud Applications and IT

The George Washington University, School of Business

Washington, DC, USA

Bachelor of Technology in Computer Science Engineering

SRM Institute of Science and Technology

Chennai, India

Featured certifications

More on LinkedIn
ThoughtSpot
Analytics

ThoughtSpot BI Professional

Relevant to the analytics and search-driven BI side of my background.

View program
Amazon Web Services
Cloud

AWS Certified Cloud Practitioner

Useful for the cloud and platform side of product and data systems work.

View program

Also completed

Machine Learning Specialization

Technical Focus

Product work, technical depth, and career background in one view.

This is the blend that actually describes my work: AI products, data systems, platform decisions, and analytics experience that feeds into how those products get built.

Products I Build

AI products where the workflow is visible, not hidden behind magic copy

Atlas and DreamStream are the clearest signals here: build the interface, define the steps, expose the limits, and make the system usable before claiming it is intelligent.

  • Connected search and source-aware actions
  • Stage-based creative workflows and model routing
  • Auth, billing, settings, and workflow state that make AI products feel real

Data Foundation

Python, SQL, and data-platform work that makes the product work more grounded

My background is not just product mockups. It includes ETL, reporting, validation, profiling, and operational automation built in enterprise settings.

  • Python, SQL, Pandas, and automation scripts
  • Databricks notebooks and Azure Data Factory
  • ETL, profiling, retries, and data quality workflows

Platform Systems

Search, storage, auth, and background jobs across the stack

The product work is backed by practical platform decisions around databases, queues, object storage, auth, deployment, and beta-to-scale tradeoffs.

  • PostgreSQL, Supabase, Redis, and S3-style storage
  • BullMQ jobs, queue-backed pipelines, and runtime planning
  • Cloudflare, Railway, and AWS-oriented architecture choices

Analytics Work

Dashboards, decision support, and visibility into business operations

I still think like an analyst when I build products: make systems measurable, make results legible, and design around how people actually monitor work.

  • Power BI, Tableau, and ThoughtSpot
  • Executive dashboards and KPI automation
  • PMO, portfolio, and operational reporting

Contact / Demos

Reach out, inspect the code, or open the products directly.

If you want to reach out or check my work, here are some resources.

Akhielesh Srirangam

It's not always about building meaningful products. It's also about building products that help us have fun. In the end, it's all about having fun in what we do.

I like building things that are useful, technical, and fun to use, whether that is an internal workflow system or a more playful AI product.

akhieleshsrirangam@gmail.com
Fairfax, VA

LinkedIn

Experience, education, and certifications in one place.

Public profile

GitHub

Source code for Atlas, DreamStream, and portfolio work.

Public profile

Email

Direct contact for AI product, Python automation, and platform roles.

Direct contact

Atlas demo

Live beta for Atlas, the connected AI data management terminal.

Live demo

DreamStream demo

Live beta for DreamStream Comic Studio.

Live demo