MS @ SJSU · Bay Area

Subhash Polisetti

Software Engineer·Backend·Applied AI

I build backend systems that stay quiet at 1M+ scale — distributed services, idempotent APIs, and applied AI that ships to real users.

Open · Backend & AI roles// San Francisco Bay Area

01 About

Who I am

Currently a Research & Teaching Assistant at San José State University while finishing my MS in Software Engineering. Researching AI-driven payment workflows — idempotency, retries, fraud detection.

Previously built RAG infrastructure at Mymir (RAG pipeline on Lambda + Bedrock, +25% retrieval accuracy), and spent two years at Achala IT Solutions owning microservices for a real-time platform serving 1M+ daily users.

I care about systems that don't page you at 3am — clear contracts, observability, and the kind of restraint that comes from running production at scale.

Scale shipped

0M+

daily users

p95 latency cut

2s → 900ms

Downloads

0K+

Play Store

02 Experience

4 roles · 2020 → now

Research & Teaching Assistant · San José State University

Feb 2025 — May 2026

San Jose, CA

Researching AI-driven payment workflows with Spring AI — idempotency, retry semantics, and reliable transaction processing.
Applied clustering and similarity analysis on transaction patterns for fraud and anomaly detection research.
Guiding graduate students through advanced software engineering coursework.

Spring AIJavaCluster AnalysisPython

Software AI Engineer · Mymir

Sep — Dec 2025

San Jose, CA · Internship

Built a RAG pipeline on AWS Lambda + S3 + Bedrock — improved knowledge retrieval accuracy by 25%.
Optimized LLM inference with response streaming, reducing time-to-first-token by 300ms.
Built a Redis caching layer on ElastiCache — cut redundant LLM calls by 30% and shaved 180ms of latency.

RAGAWS BedrockLambdaRedisElastiCachePython

Software Engineer · Achala IT Solutions

2022 — 2024

Hyderabad, India

Owned backend microservices for a real-time platform serving 1M+ daily users — location-based vehicle discovery and routing.
Optimized routing APIs, cutting critical latency from 2s to 900ms (55% improvement).
Built a distributed job scheduler and idempotent APIs to prevent duplicate transactions across services.
Automated CI/CD pipelines with Docker + Terraform across AWS environments.

JavaSpring BootKafkaRedisDockerTerraformAWS

Undergraduate Researcher · Robotics Lab · RKV

2020 — 2022

IIIT RK Valley

Hands-on research across ML, Deep Learning, Computer Vision and IoT.
Organized technical workshops on emerging AI technologies for the broader student body.

PythonMLDeep LearningComputer Vision

View full résumé ↗

03 Projects

5 selected

✦ Featured · Live ↗ Click to visit

AHC

AI Healthcare Portal ↗

Agentic AI platform where six LangGraph agents autonomously handle patient intake, clinical analysis, no-show prediction, discharge planning, and vitals monitoring — each with typed state graphs and tool-calling loops on live clinical data. Full RAG pipeline: symptom embeddings → ChromaDB vector search across 1.6M real NPPES providers → LLM-ranked recommendations. Spring Boot + FastAPI dual microservices on GCP Cloud Run drive the event-driven backbone that keeps agents in sync.

LangGraphChromaDBVector SearchSpring BootFastAPIGCP Cloud RunWebSocketPub/Sub

GIF Raja ↗

2023

Native Android marketplace serving 100K+ users with frame-perfect WhatsApp sharing. MVVM architecture, Firebase Remote Config, FFMPEG conversion pipeline — built to ship to phones in markets where 50MB matters.

AndroidKotlinMVVMFirebaseFFMPEGRemote Config

LinkedIn AI Branding Assistant ↗

2024

Resume + profile tailoring agent that extracts JD signals via Gemini & OpenAI, retrieves matched bullets from a vector store, and re-writes positioning for the target role.

ReactSpring BootMongoDBGeminiOpenAIRedisAWS

Data Mining at Scale ↗

2024

Side-by-side study of CRISP-DM, KDD and SEMMA methodologies applied to weather forecasting, social-graph analysis, and a music recommender — full notebooks published.

PythonPandasJupyterResearch

TimeGPT × Tabula9 ↗

2024

Forecasting energy demand and Bitcoin volatility with TimeGPT, plus synthetic tabular generation through graph neural networks — a sandbox for foundation time-series models.

TimeGPTGNNDeep LearningPython

See more on GitHub ↗

04 Skills

Living document

BackendDistributed systems

JavaSpring BootSpring SecurityNode.jsPythonKafkaRedisgRPCRabbitMQMicroservicesGraphQLPostgreSQL

AI / MLApplied & research

RAG PipelinesAWS BedrockSpring AILLMsTensorFlowPyTorchOpenCVScikit-learnVector Search

CloudDevOps & infra

AWSDockerKubernetesTerraformCI/CDJenkinsNginxGitHub Actions

FrontendInterfaces

ReactNext.jsAngularTypeScriptJavaScriptTailwindFramer Motion

05 Background

Education, certs, awards

Education

2024 — 2026

MS, Software Engineering

San José State University

San Jose, CA · USA

GPA 3.6

2018 — 2022

BTech, Computer Science

RGUKT IIIT RK Valley

Andhra Pradesh · India

80%

Certifications (7)

Azure AI Engineer Associate

Microsoft

Spring Certified Professional 2024 (Java)

VMware / Broadcom

Agentforce Specialist

Salesforce

AI Specialist

Salesforce

DynamoDB Service Primer

AWS

Distributed SQL & CockroachDB

CockroachDB University

Get Started with Redis

Redis University

Recognition

2023

Social Impact Award

Achala IT Solutions

Let's build something that holds up.

I'm actively looking for full-time backend / distributed systems / applied AI roles. If you're hiring, I'd love to talk.

Email me ↗LinkedIn ↗Résumé · PDF ↗