OPEN TO SUMMER 2027 INTERNSHIPS

Somewhere between “what if?” and “it works.”

Software Engineer building reliable products across data, AI and distributed systems. I care about thoughtful architecture, sharp execution and technology that holds up beyond the demo.

View my workDownload resume
2.5 yrsyrs
AT JPMORGAN
6
PROD SERVICES
SERVICE HEALTH — LIVEALL SYSTEMS NOMINAL
P99 LATENCY
43ms
THROUGHPUT
1.2k/s
UPTIME
99.9%
REQUEST LATENCY — LAST 60s

Yes, this actually works. Try it.

◆ Python◆ Java◆ SQL◆ JavaScript◆ FastAPI◆ SpringBoot◆ React◆ AWS◆ Terraform◆ Docker◆ Jenkins◆ GitHub Actions◆ PostgreSQL◆ MySQL◆ ChromaDB◆ Grafana◆ Datadog◆ Gremlin◆ RAG Pipelines◆ Vector Embeddings◆ Pandas◆ NumPy◆ Scikit-learn◆ Python◆ Java◆ SQL◆ JavaScript◆ FastAPI◆ SpringBoot◆ React◆ AWS◆ Terraform◆ Docker◆ Jenkins◆ GitHub Actions◆ PostgreSQL◆ MySQL◆ ChromaDB◆ Grafana◆ Datadog◆ Gremlin◆ RAG Pipelines◆ Vector Embeddings◆ Pandas◆ NumPy◆ Scikit-learn

SELECTED WORK

Things I've built
and how they hold up.

query
→
intent router
→
ChromaDB vectors
live web search
→
SSE stream
PythonChromaDBAsync I/ORAGSSE

Academic Assistant — adaptive RAG pipeline

An LLM system that decides where to look. Queries get routed between vector retrieval over academic policy data and live web search based on intent, then stream back token-by-token over server-sent events with traceable citations. Prompt guardrails detect ambiguity — an unspecified campus triggers a clarifying question instead of a confident wrong answer.

Read the case study →
PythonKNNReact

Music genre detection

End-to-end ML pipeline: audio feature extraction, cleaning, training, evaluation — served through a React interface with real-time predictions and a content-based top-5 recommender.

View on GitHub →
+
NEXT UP
TerraformDockerGrafana

An infrastructure piece

Placeholder. Your strongest signal is infra and reliability — one visibly Terraform/observability project, with a real dashboard screenshot, would make this site match the engineer.

Coming soon →

EXPERIENCE

Six services,
zero downtime.

Software Engineer — JPMorgan Chase & Co.

AUG 2023 — DEC 2025

Built RESTful APIs and backend services for enterprise data retrieval, consumed by multiple internal teams. Ran ETL and batch workflows over millions of client records. Owned the release path: Jenkins and GitHub Actions pipelines with Dockerized builds and blue-green deploys across six coordinated services and their AWS infrastructure — provisioned with Terraform so every environment was reproducible and auditable.

Two things I'm proudest of: a Python synthetic data framework that generated thousands of records across 15–20 relational tables with PII masking, so we could test in lower environments without touching production data — and helping start the team's chaos engineering practice with Gremlin, breaking things on purpose to find out what actually survives.

Observability across 6 servicesGrafana + DatadogTerraform · EC2 · S3 · LambdaBlue-green deploysChaos engineering

MS Computer Science — CSULB

JAN 2026 — DEC 2027 · GPA 4.00

Advanced algorithms, programming languages, and software engineering. B.E. Computer Engineering, University of Mumbai (CGPA 9.34) before that. AWS Certified Developer – Associate.

CONTACT

Let's build something
that stays up.

Open to Summer 2027 internships and backend, infrastructure, or AI platform roles. Say hi — I answer everything.

phulwanikashish@gmail.com
GitHub ↗LinkedIn ↗Resume ↗