Austin, Texas · Available for AI Engineer roles

IAM Engineer
by design.

IAM engineer by trade, AI engineer by design — I spent years securing enterprise identity at scale, and I'm now applying that same rigor to building and shipping AI systems.

View RésuméTalk to My AI TwinContact →

The
pivot.

I spent the last several years inside enterprise identity — SailPoint implementations, access governance, RPA integrations — the unglamorous plumbing that keeps large organizations secure. Somewhere in the middle of upgrading IIQ instances and writing provisioning rules, I got hooked on the systems making decisions rather than just enforcing them. So I started re-skilling deliberately: data structures and algorithms, ML foundations, PyTorch, backend and API engineering — and shipping projects instead of just collecting certificates. This site is both a resume and a receipt.

Where the arc
actually happened.

Reverse chronological. Color marks where each role sits on the IAM → AI line — tap any role to expand it.

  1. Texas Health and Human Services

    Austin, TX (Hybrid)
    • [CONFIRM WITH MANEESH: 2-3 bullets on what you actually built or improved in this role — this is the current job and deserves real detail]
    JavaMySQL

  3. Digit7

  4. The University of Texas at Dallas

  6. Deloitte India (Offices of the US)

Shipped, not
just studied.

PromptVault

Featured

A prompt management API for LLM applications

My primary hands-on project for the AI Engineer transition — a backend service for storing, organizing, versioning, and retrieving LLM prompts, built the way I'd want production infrastructure built, not a weekend toy.

Outcome — Full versioning + auth + migration story, containerized and deployed — proof of backend/API engineering depth, not just notebook experiments.

FastAPIPostgreSQLSQLAlchemyAlembicJWT AuthpytestDockerRailway
GitHub repo: link pendingLive app: link pending

Personal AI Assistant (Resume Chatbot)

Featured

An LLM-powered chatbot that answers questions about my background

Deployed on Hugging Face Spaces and embedded live on this site — it answers questions about my experience, skills, education, and projects. This is a shipped, deployed AI project in its own right, not a widget bolted onto a resume site.

Outcome — Live, publicly deployed, and handling real conversational Q&A about my career — talk to it below.

LLM IntegrationPythonHugging Face Spaces
Open on Hugging Face →

Cyber Threat Detection System — Log Analysis

ML-based log analysis for security operations

Implemented a machine learning–based log analysis system leveraging MISP, TheHive, and the ELK Stack to help triage and classify security events.

Outcome — Analyzed production logs and cut false positives by 25%. [CONFIRM WITH MANEESH: a second metric for this project got cut off in the source material — what was it, and is there a repo/link to share?]

Machine LearningMISPTheHiveELK Stack
Repo / link: link pending

AI Self-Checkout System

Computer-vision-powered self-checkout, built at Digit7

In-machine cameras detect products, image segments are sent to a deep-learning model deployed via Kubernetes on edge devices for classification, product data is retrieved from a database, and the customer is billed automatically.

Outcome — Migrated from detection to segmentation, cutting model training time by 5x.

PythonComputer VisionKubernetesEdge Deployment

Daily Habit & Routine Tracker

A calm, self-contained personal productivity app

A single-file React component with a weighted daily score ring, habit/diet/supplement tracking, and a reflection journal. No backend, no external dependencies — just localStorage and a clear UI.

Outcome — A small, complete, dependency-free build — evidence of clean frontend fundamentals alongside the backend/AI work.

ReactlocalStorage
Repo / link: link pending

Talk to my
AI twin.

This isn’t a widget bolted onto a résumé — it’s a shipped LLM application I built and deployed myself. Ask it about my experience, skills, education, or projects. It knows what I know about my own career.

Ask Maneesh’s AI Twin
Open full chat in new tab →

Waking up the AI twin — Hugging Face Spaces can take a moment to cold-start.

Writing &
publications.

Education &
certifications.

Education

Jan 2022 – Jan 2024

M.S., Computer Science

The University of Texas at Dallas · Richardson/Dallas, TX

GPA 3.67

Data Science–focused track; coursework included Cloud Computing, Algorithms, Web Programming, Cybersecurity Fundamentals, Data Security and Privacy.

2015 – 2019

B.Tech, Computer Science

VNR Vignana Jyothi Institute of Engineering and Technology · Hyderabad, India

GPA 9.02/10

Coursework included Data Structures, Probability and Statistics, Web Design, Database Management Systems, Object-Oriented Programming, SQL.

Certifications

AWS Certified AI Practitioner

Amazon Web Services

Issued Apr 2025 · Expires Apr 2028

Verify →

Machine Learning Specialization

Andrew Ng / DeepLearning.AI, via Coursera

Self-directed AI Engineer transition roadmap

[CONFIRM WITH MANEESH: LinkedIn lists 3 certifications total — what's the third?]