- 🤖 AI Engineer — I build LLM applications, MCP servers, and multi-provider AI tooling
- 🧭 Product-minded — I scope, ship, and iterate on AI products end to end, not just prototypes
- 🎓 M.S. in Data Science, New Jersey Institute of Technology
- 🌱 Going deep on RAG, evals, agents, and the Model Context Protocol
- 💬 Ask me about LLM app architecture, MCP, shipping AI features, or turning data into product decisions
Engineering that stays close to the product:
| Focus | What that looks like |
|---|---|
| AI Engineering | LLM apps, MCP servers, multi-provider tooling (Claude · OpenAI · Gemini · local), RAG, prompt & eval workflows |
| Product sense | Problem discovery, scoping, UX for AI features, iterating on real usage and metrics |
| Data foundation | Python + pandas, SQL, Jupyter — analysis and models that inform the product |
| Project | What it does |
|---|---|
| Lyceum | Self-hosted, Netflix-style learning platform — streams video courses and ebooks from your own Nextcloud / WebDAV / S3 / Drive / Dropbox |
| resume-tailor | Turns a job description into a tailored resume + cover letter (DOCX/PDF) with a skills-gap report and match score — any AI provider |
| youtube-playlist-mcp | MCP server that exposes YouTube playlist data so Claude can check it as part of a daily automation |
| lyceum-tube | Chrome extension — YouTube watch stats, focus mode, playlist progress, and notes |
| varshithregatte.com | Personal site & blog — Astro on Cloudflare Pages with GitHub Actions CI/CD (source) |
Detecting DeepFakes: A Deep Convolutional Neural Network Approach with Depth-Wise Separable Convolutions
R. V. Reddy (first author), A. Nethi, S. Sukhija, Y. Gupta
IEEE Int. Conf. on Emerging Techniques in Computational Intelligence (ICETCI), 2023, pp. 33–38
Depth-wise separable CNN on Celeb-DF v2 — 98.8% image / 97.4% video accuracy.
IEEE Xplore · DOI · Code
Badges are what I reach for day-to-day. The list at the end is exposure, not depth.
AI / ML
Data & ML tooling
Languages
Web & APIs
Cloud & DevOps
Infrastructure
Databases
AI / Data — LLM integration · semantic search · prompt engineering · LlamaIndex · NLP · CNNs / GANs · OpenCV · vector DBs (FAISS, Chroma, Pinecone, pgvector) · Azure AI Search / Foundry / ML / Functions / App Service · Microsoft Copilot · ETL · data validation · Fivetran · Tableau · data modeling & warehousing · query optimization
Cloud / DevOps — REST APIs · CI/CD · AWS (EC2, S3, RDS, Lambda) · OpenShift · VMware vSphere / vCenter / ESXi · WireGuard
Infra & identity — Windows Server 2016–2022 · Active Directory · Entra ID · Group Policy · Delinea Secret Server (PAM) · Zero-Trust / RDP access · DFS · NAS · iSCSI · storage server setup · DHCP/DNS · Wireshark · server rack & stack
Enterprise — Microsoft 365 (Exchange, Teams) · SharePoint · Intune · SOTI MobiControl · SAP · ServiceNow ITSM · ManageEngine ServiceDesk Plus
📅 The contribution graph further down this page now includes private-repo activity.
Targeting AI Engineer roles. Open to opportunities — and to talking shop with fellow builders.