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Akash Agrawal

Currently building at NewsGenie

Akash Agrawal

Software Engineer - AI

I work backward from real customer problems to build reliable AI products, backend services, and cloud systems that create measurable value.

See the workResume
95%
analysis time cut
40 hours to 2 hours per cycle
1,000+
hours automated / yr
agentic content pipeline
Top 2.4%
ICPC 2019
239th of 10,000 teams worldwide
Akash Agrawal
Mesa, AZ, open to relocation
M.S. CSASU, Dec 2025
FocusAI, Backend, Cloud

Measured outcomes

0%

faster analysis

40hr to 2hr per research cycle

0

Hours automated yearly

Multi-LLM review pipeline

0M

records consolidated

Enterprise MDM migration

0%

cloud cost cut

Optimized Lambda container builds

0.0%

uptime held

CloudWatch-backed observability

0

Entities tracked per run

0.82 mAP multi-object tracking

Selected work

Work that starts with the problem

I start with what people need, then build the smallest reliable system that solves it.

Building now

Products in active development

Two products I am taking from real user problems to public launch.

  • In active development

    Regalia Pass On

    A student marketplace for passing academic regalia on to current students. Deployment is coming soon.

    Customer problem

    Graduation attire is expensive, used briefly, and often left unused while the next class needs it.

    View source
  • Hackathon prototype, now rebuilding

    ReFocus.AI

    A productivity app that uses psychology-informed, real-time nudges to help people recover from distraction. I am continuously improving it for a public launch.

    Customer problem

    Most productivity tools block distractions without helping people understand and recover from losing focus.

    View sourceView hackathon project

Case studies

Four systems you can run in your browser

Working demos with the architecture, decisions, and tradeoffs behind each system.

All 6 case studies

Plus 2 more covering financial-systems middleware at CITI Bank and a ten-million-record master data pipeline at Avery Dennison. Browse all work.

Experience

Four engineering roles, from enterprise data to production AI

  1. Feb 2026 to Present

    current

    Mesa, AZ

    Software Engineer - AI

    NewsGenie, Inc.

    Building a real-time content protection service that lets publishers encrypt digital content and revoke access from bots and scrapers in under a second.

    • Built a real-time content protection service for publishers to encrypt and revoke access to digital content against unauthorized bots and scrapers, using FastAPI, React, MongoDB, Redis, and AWS KMS.
    • Designed per-user, per-article access control with sub-second revocation, blocking 7 distinct bot categories for publisher customers across service boundaries.
    • Built an agentic content pipeline using LangChain with multi-LLM orchestration and automated review gates, cutting manual workflow by 1,000+ hours annually.
    FastAPIReactMongoDBRedisAWS KMSLangChain
    Read the case study

  2. Aug 2024 to Jul 2025

    Tempe, AZ

    AI Engineer

    Arizona State University

    Replaced a manual geotechnical research workflow with a serverless deep learning pipeline and a multi-object tracker that follows thousands of soil particles across video.

    • Architected a deep learning pipeline on AWS Lambda and S3 to reduce data analysis time by 95% (40hr to 2hr per cycle).
    • Engineered a multi-object tracking system using FairMOT and YOLOv8 to process 3500+ entities at 0.82 mAP.
    • Standardized deployment environments using Docker and Terraform to eliminate config drift and cut setup time by 90%.
    • Implemented system observability using AWS CloudWatch to ensure 99.9% uptime and accelerate incident resolution.
    PythonPyTorchFairMOTYOLOv8AWS LambdaTerraform
    Read the case study

  3. Jan 2023 to Nov 2023

    Remote

    Software Engineer

    LTIMindtree · Client: CITI Bank

    Automated configuration management for financial systems behind hardened middleware, with SSO, role-based access control, and a full audit trail.

    • Developed secure, scalable middleware using Node.js and Angular to automate config management for financial systems.
    • Accelerated data processing by 35% through Oracle PL/SQL optimization, RESTful API integration, and parallel execution logic.
    • Hardened application security by implementing SSO, RBAC, and full audit logging to protect sensitive financial data.
    • Deployed an end-to-end CI/CD pipeline using Jenkins, Docker, Kubernetes, and SonarQube with enforced code reviews.
    Node.jsAngularOracle PL/SQLJenkinsKubernetesSonarQube
    Read the case study

  4. Aug 2021 to Dec 2022

    Remote

    Software Engineer - Data

    LTIMindtree · Client: Avery Dennison

    Consolidated ten million customer records scattered across regional systems into a single trusted master data set feeding downstream CRM and analytics.

    • Engineered an enterprise MDM pipeline using Informatica (ETL) to consolidate 10M global customer records for unified CRM.
    • Boosted legacy pipeline efficiency by 30% through data enrichment using Python, Oracle PL/SQL, and REST APIs.
    • Enhanced data reliability using automated validation testing and deduplication logic to improve governance metrics by 4x.
    • Delivered 2.5M golden customer records to downstream systems to enable AI-driven analytics across Oracle CRM/CX.
    InformaticaPythonOracle PL/SQLREST APIsOracle CRM/CX
    Read the case study

Technical depth

Grouped by what I actually use them for

Languages

PythonJavaScriptTypeScriptJavaSQLC#C/C++Bash

AI & ML

LangChainLangGraphRAGMulti-LLM orchestrationPyTorchHuggingFaceOpenCVYOLOv8FairMOTRAGAS

Backend & APIs

FastAPINode.jsNext.jsReactGraphQLRESTSpring Boot.NETAngular

Cloud & Infra

AWS LambdaAWS S3AWS KMSCloudWatchDockerKubernetesTerraformJenkinsSonarQube

Data

PostgreSQLMySQLOracle DBSQLiteMongoDBRedisChromaDBInformatica ETL

M.S. Computer Science

Arizona State University · Tempe, AZ

Dec 2025

Statistical Machine Learning · Cloud Computing · Data Processing at Scale · Software Security · Semantic Web Mining

B.S. Computer Science

Nagpur University · India

Jul 2021

Data Structures & Algorithms · Operating Systems · Database Management Systems · Distributed Systems · AI/ML

Recognition

About

I build from customer problems backward

I am a Software Engineer - AI at NewsGenie, where I build a real-time content protection service for publishers. Outside work, I am building Regalia Pass On to help students reuse graduation attire and rebuilding ReFocus.AI, my hackathon productivity prototype, for a public launch.

Previously, at Arizona State University, I replaced a forty-hour research workflow with a serverless deep learning pipeline. At LTIMindtree, I built financial middleware for CITI Bank and worked on a ten-million-record master data migration for Avery Dennison.

I earned my M.S. in Computer Science from Arizona State University in December 2025. My team also placed 239th out of 10,000 teams in ICPC 2019. I am based in Mesa, Arizona and open to relocation.

How I work

  • Start with the customer problem

    I work backward from who needs the product, what is failing today, and what a useful outcome looks like.

  • Design for the failure case

    Bounded retries, re-identification after occlusion, and refusing to decrypt before classifying all address what happens when something goes wrong.

  • Make quality continuous

    RAGAS evaluation on the agent, validation inside the ETL pipeline, SonarQube in the merge path. Standards that run automatically are the ones that hold.

  • Reproducibility is infrastructure

    Docker and Terraform removed config drift from a research pipeline whose conclusions depended on being re-runnable.

Recommendation

What it is like to work with me

I worked with Akash for 2 years at LTIMindtree, and he stood out from day one. He ramped up quickly on a complex Customer Data Management project, mastered Oracle SQL and Fusion CDM architecture, and delivered solutions that reduced client operational costs by 20%, which led to follow-on business.

Akash is not just technically sharp, he takes full ownership, asks thoughtful questions, and mentors teammates effectively. He is reliable, adaptable, and thrives under pressure. I recommend Akash without hesitation. He is the kind of engineer who raises the bar.

Sarthak Mohanty

AI Evangelist @ ITM | Agentic AI, Generative AI, AI Data Platforms & Analytics | Delivering AI-infused solutions with a strong focus on Responsible AI

Managed Akash directly at LTIMindtree | Aug 31, 2025

View on LinkedIn

Contact

Hiring, or want to dig into one of these systems?

Happy to walk through any of the architecture decisions in detail, including the ones that did not work out. Fastest way to reach me is email.

GitHubLinkedInResume