Hello World!It's Atharv

I combine technical execution with product thinking to deliver meaningful outcomes.

DATA.

I use analytics, experimentation, and storytelling to uncover what matters.

PRODUCT.

I bridge technical depth with user-first strategy to shape better product decisions.

IMPACT.

Focused on measurable outcomes, clear communication, and collaboration that moves teams forward.

Atharv portrait

About me

Engineer today, product-minded builder for tomorrow.

With a BS in CS + Math and a master's in Data Science, I work at the intersection of user needs, technology, and measurable outcomes.

I enjoy building products end-to-end, learning quickly from feedback, and using data to guide better decisions. I care about clarity, collaboration, and shipping work that genuinely helps people.

Product ThinkingData DrivenFull StackUser Focused
Let's connectView Resume

Education & journey

How my background shapes how I build.

Journey

From quantitative foundations to applied ML and full-stack delivery.

  • Strong quantitative base in CS + Math — algorithms, systems, and proof-oriented thinking.
  • MS Data Science: analytics, modeling, and experimentation to turn messy data into decisions.
  • Today: shipping end-to-end — from dashboards and APIs to ML prototypes and user-facing flows.
Education

Rutgers MS Data Science & BS CS + Math — with honors recognition.

  • MS, Data Science · Rutgers · May 2026 · GPA 3.9/4.0
  • BS, CS & Mathematics · Rutgers · May 2025 · GPA 3.8/4.0
  • PHISIM Award for Academic Excellence
Skills & certifications

Languages and tooling across the data and product stack — backed by AWS certifications.

AWS Certified AI PractitionerAWS Certified AI Practitioner
AWS Certified Machine Learning Engineer AssociateAWS Certified ML Engineer Associate
PythonRJavaTypeScriptSQLMongoDBSparkKafkaNext.jsReactLangChainPower BITableauDockerKubernetes
Build
Measure
Learn

Experience

Real-world execution across AI, analytics, and full-stack product work.

Software Engineer Intern · ChiStats Inc.

Sep 2025 - Dec 2025 · Roseville, CA

  • • Built a GenAI tool for financial regulatory compliance to analyze documents and surface insights for auditors.
  • • Developed a RAG extraction tool to help auditors navigate 5,000+ pages of financial regulations.
  • • Built Python data pipelines to clean, normalize, and aggregate unstructured data into relational schemas.

Software Analyst · Rutgers University

Aug 2025 - Present · Camden, NJ

  • • Developed KPI dashboards in Power BI and Excel from 10K+ data points, surfacing trends for onboarding and event participation.
  • • Implemented Terra Dotta landing pages for student programs to improve accessibility and increase participation.

Machine Learning Research Assistant · Rutgers University Center for Computational and Integrative Biology

Dec 2024 - May 2025 · Camden, NJ

  • • Implemented a CNN achieving 94% accuracy for protein sequence classification.
  • • Built a data processing pipeline transforming 12,000+ FASTA protein sequences into analysis-ready dataframes.
  • • Fine-tuned TinyLlama with LoRA for benchmarking and improved model performance.

Software Engineer Intern · Independence Education

Jun 2024 - Aug 2024 · Philadelphia, PA

  • • Built a React + TypeScript + PostgreSQL dashboard to provide education metric insights.
  • • Increased user engagement by integrating a LangChain.js RAG chatbot into the dashboard.

Projects

Projects that combine technical depth with practical impact.

Sentinel AI (Hackathon Award Winner)

GitHub

Python, Gemini, AWS (S3, Lambda), Kafka, MongoDB

  • • Deployed a 100% serverless event-driven pipeline for real-time, AI-verified situational awareness for 911 dispatchers.
  • • Used Gemini 2.0 Flash for audio-to-JSON extraction and Gemini 2.5 Pro for multi-image analysis in an S3 -> Lambda -> MongoDB flow.
  • • Built a Folium map dashboard with chatbot-driven MongoDB querying.

MCP Server for ETL Orchestration

GitHub

Python, MCP SDK, Apache Airflow, AWS (S3, Glue, Athena)

  • • Enabled LLM-driven ETL orchestration from natural language commands.
  • • Engineered backend tools to trigger Airflow DAGs, Glue jobs, Athena queries, and S3 operations.

Driver Drowsiness Detection System

GitHub

Python, Kafka, Spark, AWS (EC2, Lambda, S3)

  • • Built a real-time drowsiness detection system with YOLOv8 inference at 90% accuracy on live feeds.
  • • Triggered automated WhatsApp alerts via Lambda and stored metadata in S3 for retraining.

Product Thinking In Motion

How I translate ambiguous ideas into shippable experiences.

Contact

Let's build something valuable together.

Have a role, collaboration idea, or project opportunity? Send a quick note and I'll get back to you at reach.to.atharv@gmail.com.