Available for US-based SWE roles on OPT

Akash Moses Guttedar

Senior engineer for secure, high-scale backend systems.

SDE II at JPMorgan Chase with 4.5 years of backend engineering experience across IAM, Spring Boot microservices, AWS migrations, Kubernetes delivery, and enterprise observability.

Distributed systems
IAM and security
Data migration
Enterprise delivery

Experience

Software engineering at JPMorgan Chase

4.5 yrs

enterprise engineering

1M+/day

auth request scale

99%

service availability

3 roles

intern to SDE II

JP Morgan Chase & Co.

India

Career Progression

Software Engineer Intern to Software Engineer II

2020-2024

active timeline

3 roles

promotion path

4.5 yrs

enterprise engineering

Timeline

2023

Jan 2023

to

2024

Jul 2024

Silent Runner Outstanding Contributor Award

100K+

auth records migrated

95%

ETL efficiency

90%

manual onboarding reduced

Role 3

Software Engineer II

Owned secure IAM platforms, migration tooling, and internal onboarding systems.

Selected Outcomes

Migration engine100K+ records

Built a multi-threaded Spring Boot ETL pipeline for encrypted Sybase/DB2 to AWS authentication migration.

Identity scale99% availability

Scaled access control and federation microservices across multi-region, multi-datacenter environments.

Onboarding automation90% reduction

Containerized a Spring Boot and React onboarding portal with Docker, Kubernetes, Jenkins, and monitoring.

Release safetyzero-downtime

Improved Oracle schema design, query performance, Liquibase releases, and blue-green deployment paths.

Spring BootAWSKubernetesDockerLDAPOracleJenkins
Timeline

2020

Aug 2020

to

2022

Dec 2022

Extra Mile Team Award

10K

dashboard users

500+

vulnerabilities fixed

70%

production failures reduced

Role 2

Software Engineer I

Built enterprise dashboards, security APIs, governance workflows, and cloud modernization work.

Selected Outcomes

Dashboard performance60s to ms

Reduced enterprise dashboard load times using caching, prefetching, WebSockets, background loading, and JVM tuning.

Security APIsOIDC/SAML

Implemented Spring Security APIs for RBAC, OTP, SCIM workflows, entitlement filters, and credential services.

Access governanceleast privilege

Modernized authentication with Kerberos, CyberArk/KMS secret handling, account separation, and audit trails.

Modernization500+ fixes

Drove Splunk root-cause analysis, Java 8 to 17 upgrades, Spring Boot upgrades, and on-prem to AWS migration work.

Spring SecurityOAuth2OIDCSAMLPingFederateCyberArkSplunk
Timeline

2020

Jan 2020

to

2020

Jul 2020

90%

test coverage

POC

migration tooling

JUnit

test suite

Role 1

Software Engineer Intern

Delivered migration proof-of-concept work and test coverage for reconciliation workflows.

Selected Outcomes

Migration POCPython

Created a data migration proof of concept for authentication data movement and reconciliation.

Quality coverage90%

Built unit and integration tests with JUnit and Mockito to improve debugging accuracy.

PythonJUnitMockitoData Migration

Education

Academic foundation for systems, AI, and data-intensive engineering.

Coursework from Texas A&M and undergraduate engineering reinforces the portfolio focus: scalable systems, applied AI, visualization, performance, and secure networks.

Texas A&M University

Academic Timeline

2024

Aug 2024

to

2026

May 2026

Standing

GPA 3.8 / 4.0

Credential

MS Computer Engineering

Academic Focus
Applied AI and machine learning systems
Data visualization and mining
Parallel computing, architecture, and networks

Snapshot

Coursework and academic projects align with scalable backend systems, data-intensive applications, and applied engineering work.

Relevant Coursework

Machine Learning EngineeringArtificial IntelligenceData VisualizationData Mining & AnalysisParallel ComputingComputer ArchitectureComputer Communication & Networks

Jawaharlal Nehru Technological University

Academic Timeline

2016

Jul 2016

to

2020

Sept 2020

Standing

GPA 9.8 / 10

Gold Medal

Credential

B.Tech Electronics & Communication Engineering

Academic Focus
Computer systems fundamentals
Database and network foundations
Electronics and communication engineering

Snapshot

Coursework and academic projects align with scalable backend systems, data-intensive applications, and applied engineering work.

Relevant Coursework

Data StructuresComputer NetworksOperating SystemsDatabase Management SystemsCommunication Systems

Tech Stack

Tools I build with

Languages
Java
Python
C++
TypeScript
JavaScript
SQL
Shell Scripting
Frameworks & APIs
Spring Boot
Spring Security
Spring Batch
FastAPI
ReactJS
Apache Kafka
REST APIs
Microservices
Cloud & DevOps
AWS
Docker
Kubernetes
Jenkins
Cloud Foundry
Apache Tomcat
Liquibase
CI/CD
Databases
Oracle DB
PostgreSQL
MySQL
Amazon Aurora
IBM DB2
Sybase
ADLDS
Identity & Access
OAuth 2.0
OIDC
SAML / SSO
RBAC
PingFederate
ADFS
Transmit Security
CyberArk
KMS / Secrets
AI & LLM
HuggingFace
Anthropic Claude
GitHub Copilot
LLM APIs
Prompt Eng.
Quality & Observability
Splunk
AppDynamics
Snyk
SonarQube
JUnit
Mockito
Git
Jira
Bitbucket

Projects

Selected technical projects

FeaturedJan - May 2026

HireSight

Visual Analytics for Tech Job Search

Deployed analytics product for tracking and improving tech job search outcomes.

Resume parsing, role-fit guidance, Sankey flows, heatmaps, and trend views.
LLM-powered recommendation engine for uploaded resume PDFs.
React frontend, FastAPI backend, Vercel and Render deployment.
React 18D3.jsFastAPIPandasHuggingFace LLM APIPython
View live project
FeaturedJan - May 2026

News Recommendation Atlas

Cold-Start Signal Study

Recommendation experiment on MIND-small for cold-start user ranking.

+13.8% MRR and +11.5% NDCG@10 for content signals on cold-start users.
Combined FP-Growth, co-click graphs, TF-IDF, LDA, and logistic regression.
Evaluated 50K users and 156K impressions with reproducible metrics.
Pythonscikit-learnNetworkXmlxtendLDATF-IDF
ProjectGraduate Research

Cache Replacement Policy

PACIPV + RL-Based Study

Cache replacement research using simulation and workload benchmarking.

Compared miss-rate and IPC tradeoffs across workload patterns.
Evaluated on SPEC CPU2006 and PARSEC benchmark suites across varying cache configurations.
Analyzed miss rate reduction, IPC improvements, and policy tradeoffs under different workload patterns.
C++ZSimSPEC CPU2006PARSECReinforcement Learning
ProjectGraduate Research

CUDA Cholesky Factorization

~76x GPU Speedup

GPU implementation of dense linear algebra factorization.

Achieved approximately 76x speedup over a sequential CPU baseline.
Leveraged tiled matrix operations, shared memory, and optimized thread block configurations.
Benchmarked across matrix sizes demonstrating superlinear GPU acceleration for dense linear algebra.
CUDAC++GPU ComputingLinear AlgebraParallel Programming

About

Backend engineer with security depth and delivery ownership.

What I build

  • Secure backend services for authentication, federation, and access governance.
  • Data migration pipelines with batching, encryption, reconciliation, and monitoring.
  • Internal platforms that reduce manual operational work for engineering teams.

How I work

  • Production-first: observability, rollout safety, and incident feedback loops.
  • Security-aware: OAuth2, OIDC, SAML, RBAC, secrets, and auditability.
  • Delivery-oriented: clear ownership from design through deployment.

Contact

Let's connect

Backend SWE
US roles on OPT
Available May 2026
Open to opportunities, OPT, May 2026, College Station, TX

Email

moses.ak1997@gmail.com

LinkedIn

linkedin.com/in/akash-moses

GitHub

github.com/akashmoses97

Phone

(979) 344-4596

Based in College Station, Texas · Authorized to work in the US on OPT · Available May 2026