NEELBELSARE
AI Systems · Prescriptive Analytics · Data Products
Hi, I'm
B.Tech AI & Data Science · Minor in Business Analytics (MGM JNEC)
Neel
Available worldwide
Belsare
Translating complex machine learning and prescriptive analytics into measurable business ROI. Bridging operations research, executive BI dashboards, and high-velocity full-stack platforms.
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ABOUT NEEL BELSARE
12
Dark Store Hubs
<12m
Delivery SLA
v4.0
Production Release
CURRENT STATUS
Open to Data Product Management, BI Engineering & AI Analytics roles · Building high-impact systems
AURANGABAD DARK STORE ECOSYSTEM
A production-ready 10-minute grocery delivery platform built for Chhatrapati Sambhajinagar — think Blinkit or Zepto. It connects consumer mobile ordering, high-speed warehouse picking, and a 3D live dispatch command center.
< 10 min
Guaranteed Delivery SLA
12 Hubs
1.91M Citizens Covered
< 3 sec
Automated Dispatch
42% Faster
S-Shape Pick Path
Explore the System Components
Fast, Intuitive Mobile Ordering & Live Rider Directions
Designed for both the grocery buyer and the delivery driver. Customers enjoy sub-second catalog search and real-time delivery status, while riders get live turn-by-turn road navigation with street bearing rotation.
How an Order Gets Delivered in Under 10 Minutes
Every second counts. Here is the exact path of an order from customer tap to doorstep drop-off:
Order Placed on App
Customer Experience
Customer adds items to cart on mobile web/app. GPS automatically detects doorstep address and verifies real-time dark store stock.
Sub-120s Pick & Pack
Warehouse Automation
Store picker receives an optimized S-shape walking route. Items are scanned and packed along a single continuous path without backtracking.
Rider Street Dispatch
Smart Navigation
Nearest available rider gets instant automated dispatch with turn-by-turn road navigation, avoiding traffic bottlenecks.
Doorstep Delivery
Fulfilled Under 10m
Rider reaches customer doorstep with live proximity tracking. Order status automatically switches to fulfilled in the cloud database.
Traditional Store vs. This Quick-Commerce System
How automation and spatial optimization transform fulfillment speed:
- •40–50 minute dispatch latency: Manual phone calls to couriers and printed paper pick tickets.
- •14% order cancellation rate: Caused by silent stockouts and delayed inventory updates.
- •Unorganized pick paths: Warehouse workers crisscross aisles randomly, taking 6+ minutes just to pick 5 items.
- •Sub-3-second automated dispatch: Real-time GPS matching assigns optimal rider instantly.
- •Zero-latency inventory sync: Supabase cloud prevents customers from ordering out-of-stock items.
- •Sub-120-second S-shape picking: Optimized snake path cuts walking distance by 42%.
FLAGSHIP PROJECT & TECHNICAL RESUME
Production-grade systems engineering featuring autonomous dispatch logistics, real-time spatial telemetry, and measurable business impact.
Quick-Commerce Dark Store Command Center & Dispatch Ecosystem
Chhatrapati Sambhajinagar Hyperlocal Logistics Network · End-to-End 5-Tier Architecture
Backend & Dispatch
FastAPI · Python 3.9+ · OSRM
Cloud & Realtime
Supabase · PostgreSQL · PostGIS
Mobile Clients
React Native (Expo 51) · Flutter
3D Telemetry & ML
Streamlit · PyDeck 3D · Deck.gl
Haversine multi-hub allocation across 12 geographic dark stores with dynamic weather/traffic friction buffers and OSRM turn-by-turn road navigation.
Algorithmic S-shape warehouse pick-path routing reducing picker traversal distance by 42% and keeping in-hub pack time strictly under 120 seconds.
Real-time stock deduction with automated stockout tripwires (<10 units) and autonomous inter-hub inventory transfer recommendations.
ENGINEERING BLOG
Deep-dive technical postmortems, architecture breakdowns, and algorithmic lessons from engineering the Dark Store quick-commerce ecosystem.
Architecting a 10-Minute Quick-Commerce Dispatch Engine: From OSRM to S-Shape Warehouse Pick Paths
A deep-dive into how we engineered an autonomous 5-tier quick-commerce ecosystem in Chhatrapati Sambhajinagar—slashing dispatch latency from 45 minutes to <3 seconds.
Why We Built Dual Mobile Clients: React Native vs. Flutter in Real-World Hyperlocal Logistics
Comparing React Native (Expo 51) and Flutter 3.0 for consumer storefronts, sub-meter GPS locks, and turn-by-turn courier road tracking.
Zero-Downtime Inventory Rebalancing: Real-Time Stock Triggers with Supabase & PostGIS
Eliminating stockout discrepancies using PostgreSQL triggers, PostGIS spatial boundaries, and automated inter-hub transfer queues.
CAPABILITIES & TOOLING
TECH STACK
Modern production technologies leveraged across full-stack engineering, distributed systems, and agentic AI.
EDUCATION & MILESTONES
EXPERIENCE
Academic rigor in AI & Business Analytics combined with production systems engineering.
B.Tech in Artificial Intelligence & Data Science (Minor in Business Analytics)
MGM's Jawaharlal Nehru Engineering College
Undergraduate degree specializing in AI, Machine Learning, Statistical Inference, and Database Systems, alongside an intensive minor in Business Analytics. Focus on operations research, prescriptive analytics, data lifecycle management, and translating technical AI metrics into business ROI.
Lead Systems Architect & Developer
Quick-Commerce Dark Store Ecosystem (v4.0)
Engineered an autonomous 10-minute grocery fulfillment simulation across 12 hubs in Chhatrapati Sambhajinagar. Implemented S-curve warehouse route heuristics (42% travel reduction), sub-3s OSRM spatial dispatch, and PyDeck 3D operations telemetry.
Full-Stack & Product Analytics Builder
Applied AI & Autonomous Projects
Architecting responsive web applications, automated business intelligence dashboards, and RESTful microservices. Spearheading state management overhauls, database query optimizations, and seamless cloud deployments.
Hi there! I'm Neel's 3D Assistant. Click me to explore! 👋
PRESENCE & ACTIVITY
BEYOND THE CODE
Continuous learning, open-source building, and engineering discipline.
Neel-Belsare
github.com/Neel-Belsare
PINNED REPOSITORIES
AI-Powered Dark Store Command Center & Real-Time Dispatch Ecosystem (v4.0 Production).
Personal engineering portfolio showcasing full-stack systems, 3D telemetry, and data products.