PrabhashKumar

Full Stack Developer building AI-powered multi-agent systems, scalable data platforms, and high-performance web applications. Passionate about combining LLM workflows with cloud infrastructure to enable intelligent data discovery.

Prabhash Kumar
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About me

Turning complex problems
into working software

I'm a Full Stack Developer with a background in Mechanical Engineering from IIT Bombay. What started as curiosity about how software worked eventually became a career building things that matter — AI-powered discovery tools, real-time data pipelines, and systems designed to scale.

At 1cell.ai, I work at the intersection of LLM application development and cloud data engineering — building multi-agent systems with LangGraph and AWS Bedrock, designing pipelines that migrate biomedical datasets into Apache Iceberg on S3, and shipping interactive analytics dashboards used by researchers.

Currently at1cell.ai
EducationB.Tech — IIT Bombay
LocationIndia
Career

Experience & Education

Full Stack Developer

1cell.ai·Full-time
July 2024 – Present
  • Spearheaded a LLM-powered multi-agent discovery platform for clinical and genomic datasets using LangGraph for agent orchestration and AWS Bedrock to translate natural language queries into SQL and dynamic D3 visualization configs.
  • Designed a cloud-native data pipeline using AWS Glue to migrate data from PostgreSQL and MongoDB into Apache Iceberg tables on S3, enabling scalable analytical querying via AWS Athena.
  • Engineered backend services for interactive analytics dashboards, generating dynamic queries and visualizations from structured biomedical datasets.
  • Optimized a legacy platform with server-side pagination, filtering, and sorting — significantly improving load times for large datasets.
  • Led frontend migration of the iManage application from Vue to Svelte, improving performance and maintainability.
LangGraphAWS BedrockAWS GlueAthenaApache IcebergSvelteD3.jsPostgreSQLMongoDB

B.Tech — Mechanical Engineering

IIT Bombay
2020 – 2024
Projects

Selected work

Academic and personal projects exploring machine learning and data analysis.

AI/ML·2024

Movie Recommender System

NLP-based recommendation engine on TMDB dataset using TF-IDF vectorization and cosine similarity. Streamlit web interface with live TMDB API for interactive recommendations.

PythonNLTKScikit-LearnStreamlitPandas
Data Science·2024

Starbucks Customer Segmentation

Customer segmentation on 300K+ records using PCA dimensionality reduction, K-Means clustering, and t-SNE visualization for actionable behavioral insights.

PythonScikit-LearnPCAK-MeansNumPy
Tech Stack

What I work with

Languages

TypeScriptPythonJavaScriptSQLC++Bash

Frontend

ReactNext.jsSvelteVueTailwind CSSD3.jsHTML/CSS

Backend

Node.jsExpressDjangoREST APIsWebSockets

AI & LLMs

LangGraphLangChainRAGPrompt EngineeringOpenAI APIAnthropic APIAWS BedrockAgents

Data & Cloud

AWS GlueAthenaS3LambdaApache IcebergETL PipelinesPandasNumPyScikit-learn

Databases & DevOps

PostgreSQLMongoDBDockerKubernetesGitHub ActionsCI/CD
Get in touch

Let's build
something great

Have a question, project idea, or just want to connect? I'm always open to discussing AI systems, data engineering, and modern web development.