The Engineer
Behind the
Systems.

I'm Vaibhav Ranashoor, a full stack data scientist with 3+ years of experience building production systems. I work across the entire stack, from LLM/RAG applications to data pipelines to backend services.

Current Focus

MS in Data Science at University at Buffalo (SUNY), graduating December 2025. Building LLM/RAG systems and exploring the intersection of AI and production engineering.

Location

Buffalo, NY (Open to Relocation)

Certified

AWS Certified Data Engineer - Associate (July 2025)

Experience

Career
Journey

Building progressively more impactful systems across product analytics, data engineering, HPC, and applied AI.

Sep 2025 - Nov 2025

Vaspian

AI Product Engineer Intern

LLM/NLP Support Automation

  • Automated ~60% of customer-support workflows and reduced retrieval latency 40% by deploying a customer-facing LLM/RAG system over 10k+ call transcripts
  • Reduced hallucinations by 35% by defining quality metrics, evaluating customer-facing LLM outputs, and prioritizing fixes from failure-mode analysis
Mar 2024 - Aug 2024

C-DAC

Software Engineer

HPC in AI Trainee Program

  • Supported drug-discovery workflows for pharma clients by running NWChem simulations on HPC clusters
  • Reduced failed HPC job cycles by 15% by diagnosing SLURM-scheduled distributed workload failures
Aug 2022 - Feb 2024

PRR Technologies

Data Engineer

Product Analytics

  • Improved customer targeting by segmenting users across behavioral and transactional criteria
  • Enabled hourly KPI monitoring by building AWS Glue/S3 pipelines ingesting 12k+ events/day
Jun 2021 - Aug 2022

Jio Platforms

Software Engineer

Product Analytics

  • Improved product usability for 10k+ farmers by optimizing analytics platform APIs, reducing latency 60%
  • Achieved 99.9% data reliability through Python/SQL data-quality checks and automated validation
Capabilities

Skills &
Tools

Analytics & DS

SQL
Python
R
Statistical Analysis
Metric Design
Customer Segmentation
Power BI
Tableau
Data Validation

Applied AI / NLP

Natural Language Processing
Large Language Models
Generative AI
LLM Evaluation
RAG Systems
Vector Search (Qdrant)
LangChain
LangGraph

Data & Cloud

AWS (S3, Glue, Athena, Lambda, SageMaker)
Docker
Kubernetes
CI/CD
Bash/Shell

Databases

PostgreSQL
MySQL
SQLite
MongoDB
Qdrant

Education

MS in Data Science

University at Buffalo (SUNY)

Aug 2024 - Dec 2025GPA: 3.96/4.00

B.Tech in Information Technology

VJTI (University of Mumbai)

Aug 2017 - May 2021

Certifications

AWS Certified Data Engineer - Associate

July 2025DEA-C01
Operating Principles

How I
Build

Production First

Every system I build is designed for production from day one. That means monitoring, testing, documentation, and reliability baked in.

Impact Driven

I measure success by outcomes: latency reduced, accuracy improved, workflows automated. Every project has clear metrics.

Collaborative

Technical excellence means nothing without clear communication. I document, share knowledge, and reduce onboarding friction.

Let's Work Together

I'm open to opportunities in data science, ML engineering, and full-stack development. If you're building something interesting, let's talk.

Get in Touch

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