Akhielesh
Akhielesh Srirangam
Fairfax, VA

AI Product Engineer

AI Product Engineer building search, automation, and multi-model workflow systems on top of a Python and data-platform foundation.

I build recruiter-legible systems with measurable outcomes: connector-aware AI products, workflow automation, data profiling platforms, and analytics surfaces that help teams act faster.

Explore ProductsView Experience

Flagship products

02

Career roles

04

Certifications

03

Operating lens

AI-first product work backed by Python automation, analytics engineering, and data-platform discipline.

Python automation
Databricks + ADF
AI search products
Multi-model workflows
Analytics engineering

Flagship products

Verified products with real AI workflows, platform choices, and recruiter-readable outcomes.

The homepage stays compact. Each case study opens into product thesis, verified capabilities, platform stack, workflow design, and live links.

Atlas
Live beta
AI search workspace

Atlas Beta / Connector-Aware AI Search Workspace

Atlas focuses on retrieval, sensemaking, and traceability instead of vague AI claims: connect sources, search across them, inspect why results matter, and act with connector-aware boundaries.

Status

Live beta

Role

Product, platform, and full-stack engineering

AI stack

Query understanding / Search ranking / Context-aware retrieval

AI search
retrieval systems
connector architecture
workflow automation
full-stack TypeScript
search infrastructure
background jobs
product systems
1Retrieval

Search-first workspace

Indexed retrieval, previews, and collections are treated as the primary product loop.

2Connectors

Source-aware adapter model

Each connector exposes its own coverage, capabilities, and operational truth model.

3Platform

Beta to production path

Lean beta economics are preserved while the architecture stays ready for OpenSearch, Redis/BullMQ, and S3-backed scale.

Open case study

Selected Impact

Measured outcomes from automation, reporting, and data-platform delivery.

These numbers come directly from resume-backed work across PMO reporting, profiling automation, data quality frameworks, and IT portfolio analytics.

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.

Profiling report generation reduced

60%

GSK data quality framework automation built on Python, ADF, and Databricks.

Workflow success rate

98%

Validation checkpoints and retry logic added across automated profiling pipelines.

Business domains covered

7+

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

Faster intake and delivery

25%

Jacobs Agile Demand Process standardization for IT portfolio requests.

Annual cost savings

30%

License optimization dashboards and SQL-backed software portfolio analytics at Jacobs.

AI / Data Stack

A technical stack that connects AI product work to Python automation, analytics, and platform delivery.

The portfolio is intentionally grounded in shipped tools and measurable business systems rather than inflated keyword lists.

AI Products & Workflows

01

Search, orchestration, and product flows that make AI systems usable

The strongest portfolio signal is not isolated model usage. It is building product systems that combine retrieval, prompts, jobs, state, and user-facing control surfaces.

  • AI search and retrieval workflows
  • Multi-model routing and tool integration
  • Background jobs, queue-backed pipelines, and workflow state
  • User-facing interfaces that explain AI behavior

Data & Automation

02

Python and data-platform engineering behind reliable automation

Resume-backed experience in Python, SQL, Databricks, Azure Data Factory, ETL pipelines, validation, profiling, and reusable reporting automation.

  • Python with Pandas, NumPy, and automation scripts
  • Databricks notebooks and ADF orchestration
  • ETL, validation checkpoints, retry logic, and data profiling
  • Metadata, data quality, and operational reporting

Cloud & Platform

03

Cloud-supported application and data systems

The portfolio combines application-layer product work with practical platform choices across auth, storage, search, jobs, and cloud environments.

  • Azure data and workflow tooling
  • AWS cloud fundamentals and storage/search concepts
  • Supabase, PostgreSQL, Redis, S3-style storage, and auth flows
  • Deployment thinking across lean beta and production-target architectures

Analytics & Decisioning

04

Dashboards, KPI reporting, and visibility into business operations

A strong analytics foundation shows up in both resume work and product work: Power BI dashboards, ThoughtSpot, Tableau, executive reporting, and observability-minded product surfaces.

  • Power BI, Tableau, and ThoughtSpot
  • Executive dashboards and KPI automation
  • Operational analytics and portfolio reporting
  • Decision-support systems for PMO and leadership use

Experience

Role-based experience built on automation, reporting systems, and data-platform execution.

Each role adds evidence of measurable delivery: pipeline design, dashboard systems, workflow automation, and stakeholder-facing analytics.

01

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.
Delivered executive-ready dashboards and ad hoc portfolio analysis for resource utilization, burn rate monitoring, and quarterly reviews.
02

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, reaching a 98% workflow success rate across profiling and ingestion runs.
Reduced profiling report generation time by 60% and expanded automated DQ visibility across 7+ business domains through leadership dashboards.
03

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.
Built software utilization and license-cost dashboards that informed purchasing decisions and contributed to 30% annual cost savings.
04

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.
Analyzed product performance and assisted with cloud and system support tasks in VMware-centered environments.

Education & Certifications

Academic foundation and certifications aligned to cloud, analytics, and machine learning.

Graduation years are intentionally omitted. The emphasis stays on the credentials that support product, data, and AI-facing work.

Education

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

Certifications

ThoughtSpot

ThoughtSpot BI Professional

Stanford University / Coursera

Machine Learning Specialization

Amazon Web Services

AWS Certified Cloud Practitioner

Links / Contact

A clean handoff to public work, live products, and direct contact.

This closing section is intentionally simple: where to find the work, how to verify the products, and how to reach me.

Akhielesh Srirangam

AI product engineering, Python automation, and data-backed systems built from Fairfax, VA.

[email protected]
Fairfax, VA