Software Engineer · AI/ML · Atlanta, GA

Hi, I'm Adithya.

Software Engineer II at Dell, building ML pipelines, fine-tuning NLP models, and shipping generative-AI search at enterprise scale.

View projectsLinkedInEmail

Selected work

Projects

Full-stack systems I've designed and shipped.

Flagship project

Financial Research Copilot

A full-stack RAG assistant that answers plain-English questions about public companies with citation-backed answers from SEC filings and live market data.

  • Two-path query router classifies questions as live vs. filing-based and bypasses vector retrieval for price/news/TTM queries, eliminating stale-filing hallucinations.
  • Parallel 10-K + 10-Q ingestion with chunking, OpenAI embeddings, per-user collection scoping, and staleness detection.
  • Role-based auth and multi-tenant isolation via Supabase Auth, JWT verification in FastAPI, and Postgres Row-Level Security, with per-user token budgeting.
PythonFastAPILangChainReactTypeScriptChromaDBSupabase / PostgresOpenAIDocker
Read the case study →Live Demo ↗GitHub ↗
Loading 3D graph…
Overview

Skills

Drag the nodes around · hover for detail

– / 36

What I work with

Skills

Drag to orbit · click a node to zoom & expand · hover for detail

AI / ML
Languages
Backend
Frontend
Data
Infra / DevOps

Where I've worked

Experience

Dell Technologies

Software Engineer II

Aug 2022 — Present

Atlanta, GA

  • Fine-tuned a DistilBERT NER model on Dell product query titles (Hugging Face + Elasticsearch) to 96.7% F1 / 98.2% recall, lifting search click-through by up to 12.5% in the UK and APJ.
  • Engineered a BIO-tagged NER training dataset powering a search pipeline (Python, Pandas, Elasticsearch), improving search conversion 16–18% YoY across UK and EMEA.
  • Built C# spec-standardization services and SLM prompts from Dell product catalogs, cutting null search results by 75% across Dell.com.
  • Built a spec + training-data aggregation pipeline that eliminated ~1 month of manual data work and accelerated SLM/model design.
  • Developed a Prophet-style anomaly-detection pipeline on global sales data, flagging irregular patterns for finance and audit teams.

CETLOE

Data Analyst

Oct 2020 — Aug 2022

Atlanta, GA

  • Built Python predictive models and Tableau dashboards producing weekly insights that surfaced at-risk students earlier.
  • Produced geospatial analytics (Haversine formula) over 15,000+ student campus data points to inform engagement decisions.
  • Built a Python/Pandas/regex transformation pipeline over 67 PDF documents to prepare clean datasets for sentiment modeling.

A bit about me

About

I'm a software engineer focused on AI/ML — building automated ML pipelines, fine-tuning NLP models, and deploying generative-AI systems at enterprise scale. At Dell, my work centers on search relevance: training NER models, standardizing product specs, and shipping the data pipelines behind them.

Outside of work I build full-stack products end to end — most recently the Financial Research Copilot, a RAG assistant for analyzing public companies. I care about systems that are correct, observable, and actually usable by real people.

Education

  • Georgia State University

    B.S. in Computer Science

    2018 — 2022

  • Georgia Institute of Technology

    Data Science & Visualization Boot Camp

    2020 — 2020

Get in touch

Let's build something

Open to AI/ML engineering roles and select freelance work. The fastest way to reach me is email.

adithyav211@gmail.comLinkedInGitHub