Muhammed Shifan P

About

Systems that stay fast as they grow.

Full Stack Software Engineer with 4+ years building scalable microservices, RESTful APIs and cloud-native web applications.

I work across Python, JavaScript, React, AWS, Docker and both SQL and NoSQL databases. Most of my work has been in clinical genomics, delivering high-performance systems in Agile teams, with hands-on experience in search optimization, LLM integration and CI/CD pipelines.

Experience

Where I've worked

Four years at Strand Life Sciences, after an internship at Siemens.

Software Engineer

Sep 2025 – Apr 2026

Strand Life Sciences Pvt Ltd · Bangalore

Designed and delivered RESTful APIs and React frontend workflows for a Dockerized microservices platform supporting clinical genomics, processing thousands of genomic variant records.
Drove Agile/Scrum ceremonies, including sprint planning, retrospectives and velocity tracking, to speed up delivery and reduce blockers.
Wrote unit tests that improved coverage and stabilized CI/CD pipelines, reducing integration failures.

FlaskSpring BootMySQLPostgreSQLOpenSearchKafka

Associate Software Engineer

Jun 2022 – Aug 2025

Strand Life Sciences Pvt Ltd · Bangalore

Led the migration of search infrastructure from MySQL to Elasticsearch, achieving a 10× improvement in query performance and enabling full-text search at scale.
Integrated LLM-powered genomic insights through RAG pipelines grounded in genomic context.
Built and maintained full-stack features on an AWS-hosted app with React and Flask, using RabbitMQ for async messaging, Celery for distributed tasks, Redis for caching and CloudWatch for observability.

ElasticsearchReactFlaskAWSRAGRabbitMQCeleryRedis

Software Engineer Intern

May 2021 – Jul 2021

Siemens Technology India · Bangalore

Engineered a C# ASP.NET Core web application integrated with a graph database to model and traverse complex entity relationships.
Defined and documented REST API contracts with Swagger/OpenAPI, improving onboarding and API discoverability.
Optimized backend graph traversal queries for efficient relationship lookups across large datasets.

C#ASP.NET CoreGraph DBSwagger

Projects

Selected work

From climate analytics and computer vision research to full-stack and blockchain builds.

Data · ML · Web11 Indian cities

Analytic Study of Climate Change

Processed 10+ years of global temperature data with Google Earth Engine, NumPy and Pandas.
Built a scikit-learn regression model to predict city-level temperature trends.
Served the analytics as a Django dashboard with REST endpoints and Chart.js views for temperature trends, city comparisons and pollution.

Pythonscikit-learnEarth EngineDjangoChart.js

View on GitHub

Computer visionIEEE INDICON 2022