Raghav

AI & Data Systems Engineer

RAGHAV
AI ENGINEER DATA ENGINEER SYSTEMS ARCHITECT AUTOMATION BUILDER PROBLEM SOLVER
Status: Available
Data & Automation
tap to lock
Back to scroll
RAGHAV // AI & DATA SYSTEMS ENGINEER
// ABOUT ME
AI & Systems Engineer
Engineering intelligent systems, building high-throughput automation pipelines, and solving complex problems with pragmatic AI architectures.

I’m a builder driven by solving real friction. Rather than building for theory, I engineer solutions for immediate impact, whether that means automating intricate desktop workflows, orchestrating sub-second vector retrieval across massive datasets, or crafting ultra-lean serverless platforms with zero overhead. Every system I write is focused on speed, resilience, and clean, reliable execution.

// HIGHLIGHTS
MY HIGHLIGHTS
COMPETITION // 1ST PLACE WINNER
Bizence National Hackathon 1st Place
NATIONAL SPRINT • 2024

Bizence Hackathon

1st place winner out of 100+ national teams in a high-intensity 24-hr sprint. Architected an end-to-end automated business analytics platform recognized for speed, reliability, and pragmatic architecture.

FastAPIPythonAnalytics
INTERNSHIP // AI ENGINEER
MitKat Advisory Services AI Internship
MITKAT ADVISORY • 2026

WhoMoved & RAG Systems

Built OS-level visual scrapers using PyAutoGUI & OpenCV bypassing bot detection. Orchestrated async Django daemons and integrated Google Gemini Flash with strict JSON schemas, plus <250ms pgvector RAG.

PyAutoGUIOpenCVGemini APIDjango
It doesn’t matter where you start, it’s how fast you learn and what you build that counts.
// RAGHAV
INTERNSHIP // DATA ENGINEER
Hands In Technology Data Internship
HANDS IN TECH • 2025–2026

Scalable ETL & Pipelines

Engineered scalable ETL data pipelines and REST APIs using Python & SQL to process, clean, and standardize high-volume datasets. Optimized database schemas and automated cloud storage ingestion with high fault tolerance.

PythonSQLETLSchema Design
FREELANCE // CLIENT SYSTEMS
Serverless Ticketing & LiteLLM Gateway
PRODUCTION CLIENT WORK • 2024–2025

Edge Ticketing & LiteLLM

Built zero-egress serverless event ticketing on Cloudflare Workers (<50ms admission check) with in-browser QR generation. Architected LiteLLM multi-provider gateway balancing OpenAI, Claude, and DeepSeek to cut API costs.

CloudflareLiteLLMFastAPI$0 Egress
Obsessed with building high-throughput pipelines, resilient architecture, and zero-overhead systems from concept to production.
// RAGHAV
// FEATURED SYSTEMS

ENGINEERED SYSTEMS DECK

Interactive systems showcase — hover cards to lift from deck and inspect architectures, latencies, and production stacks.

VendorSpike Enterprise RAG
<250MS // 1M+ VECTORS
VendorSpike RAG Engine

Dual-retrieval enterprise RAG pipeline combining semantic pgvector search (HNSW index) and BM25 search with PostgreSQL multi-tenant RLS.

FastAPI pgvector HNSW
INSPECT ARCHITECTURE →
B2B RL Lead Engine
RL BANDIT // 3X CONVERSION
B2B RL Lead Engine

Multi-threaded Maps & web crawler scoring digital maturity + Thompson Sampling bandit algorithm dynamically prioritizing highest-yield outreach.

Python Thompson Scrapy
INSPECT ARCHITECTURE →
Snowflake Distributed Lakehouse
5GB DATA // SNOWFLAKE
Distributed Lakehouse

5GB+ Yelp review lakehouse pipeline with AWS S3 staging, distributed Snowflake transformations, and Python sentiment classification UDFs.

Snowflake AWS S3 Python UDF
INSPECT ARCHITECTURE →
Smart Finance Assistant
CONVERSATIONAL AI // RENDER
Smart Finance Bot

Telegram conversational assistant parsing unstructured income/expense entries with real-time budget telemetry, limits, and web dashboard.

Telegram API Python Render
INSPECT ARCHITECTURE →

LET'S

CONNECT

Available for freelance gigs and looking for relevant full-time work across AI engineering and scalable data systems.

GET IN

TOUCH

Reach out directly via email or connect across developer networks below.