Akash Moses
Guttedar
Senior Software Engineer · SDE II @ JPMorgan Chase · MS Computer Engineering, Texas A&M
Building production-grade distributed systems, secure IAM microservices, and AI-integrated platforms. Deep in Java/Spring Boot, Kubernetes, and AWS — with a systems-first mindset shaped by 4+ years of large-scale engineering at JPMC.
About
Engineering at production scale
I'm a Senior Software Engineer with 4+ years of experience building mission-critical systems at JPMorgan Chase — from globally distributed authentication microservices handling 1M+ daily requests to multi-threaded ETL pipelines migrating 100K+ auth records with 95% efficiency.
My work spans IAM platforms, access governance, containerized deployments, and observability infrastructure — with deep expertise in Spring Boot, Kubernetes, AWS, and enterprise security standards (OAuth2, OIDC, SAML, CyberArk). Currently finishing my MS in Computer Engineering at Texas A&M (GPA 3.8).
Engineering Experience
Requests Handled
System Availability
Auth Records Migrated
Vulnerabilities Fixed
Onboarding Reduction
Tech Stack
Tools I build with
Experience
Where I've built
JP Morgan Chase & Co.
Jan 2020 – Jul 2024 · 4+ years
- Designed a multi-threaded Data Migration ETL pipeline (Spring Boot) with pagination, batching, and encryption matching to migrate ~100K authentication records (Sybase/DB2 → AWS) at 95% efficiency in ~10 mins; ensured secure credential transfer with aligned password hashing.
- Engineered globally distributed Access Control & Federation Microservices (Spring Boot, LDAP, ADLDS) powering entitlement enforcement and access governance across multi-region, multi-datacenter infrastructure; supported ~10K concurrent users at 99% availability, reducing production failures by 70%.
- Containerized a One-Stop Onboarding Portal (Spring Boot + React) via Docker, Kubernetes, Jenkins across multiple regions; reduced manual onboarding by 90% with monitoring via Apica, AppDynamics, and Splunk.
- Architected Oracle DB layer with schema design, query tuning, and indexing; implemented Liquibase-driven deployments and Blue-Green routing for zero-downtime releases via ServiceNow Change Management.
Education
MS Computer Engineering
Texas A&M University
Aug 2024 – May 2026
GPA 3.8 / 4.0
Education
B.Tech Electronics & Comm. Engineering
Jawaharlal Nehru Technological University
Jul 2016 – Sept 2020
GPA 9.8 / 10 · Gold Medal
Projects
Things I've built
Full-stack deployed analytics platform modeling the tech hiring funnel (Applications → Callbacks → Interviews → Offers) with D3 Sankey diagrams, role heatmaps, and trend charts.
- AI-powered recommendation engine parsing uploaded resume PDFs and delivering LLM-generated guidance (Mistral-7B) on role fit and application strategy.
- Deployed on Vercel + Render with a FastAPI backend and React 18 frontend.
Controlled experiment on Microsoft MIND-small (50K users, 156K impressions) evaluating content + topic signals vs. behavioral signals for cold-start users.
- Multi-signal pipeline: FP-Growth co-occurrence, co-click graph mining, TF-IDF + LDA under a logistic regression ranker.
- Content signals outperformed behavioral by +13.8% MRR and +11.5% NDCG@10 on cold-start users (32.8% of dataset).
Contact
Let's connect
I'm actively seeking US-based Software Engineering roles on OPT (available May 2026). Whether it's a full-time role, contract, or just a conversation — I'd love to hear from you.
Based in College Station, Texas · Authorized to work in the US on OPT · Available May 2026