PankajKumar—Buildingsystemswithcodeandtaste
A software engineer with taste. Specialized in crafting real-time analytics, interactive multiplayer applications, and highly predictive Machine Learning models. Focused on performance, robust architecture, and premium design.
Featured Projects
SCROLL_VERTICALDrawChain
Multiplayer Real-time Guessing Game
A fast-paced multiplayer drawing and guessing game built completely from scratch. Connect with rooms, draw on a shared canvas broadcasted in real time, and earn points based on speed and accuracy. Features elegant reconnect logic and fair scoring mechanics on player disconnect.
- Sub-100ms canvas broadcast latency via Socket.IO across concurrent players
- Reduced client asset payload size by 90% (6.5MB to 675KB), optimizing render speed
- Session-based authentication and automated leaderboard persistence using NextAuth & Prisma
IPL Win Predictor
Machine Learning Match Situation Model
An interactive ML analytics tool that parses over 1,200 Cricsheet ball-by-ball files to predict live IPL match outcomes. Inputs real-time parameters (wickets, runs, overs, target, current run rate) to yield instantaneous probabilities. Integrates SHAP for modular feature impact explanations.
- Processed 240,000+ ball deliveries into cricket-specific custom features
- 75% model accuracy validated on unseen historical test match seasons
- Deployed explainable web dashboard displaying live probabilities and SHAP features
CivSight
Autonomous Civic Infrastructure Management System
A decentralized 5-Stage Agentic Pipeline running on Gemini 3.5 Flash for smart city operations. Automates ingestion, duplication check, community consensus, priority-routing, and side-by-side Gemini Vision verification of municipal repairs.
- Orchestrated a 5-Agent cooperative flow sharing active ticket state via Firestore
- Visual dual-image verification detecting fake/duplicate proof-of-work uploads
- Automated routing to departments (PHED, JVVNL) via maps address resolution
YourBooking
Enterprise Conflict-Free Hotel Booking Engine
A robust booking management system that prioritizes precise transactions, avoiding double-bookings during high traffic. Implements transaction locks at the database layer and dynamic availability polling in the React client.
- Optimistic concurrency control to prevent double-booking conditions
- Redux Toolkit state orchestration for multi-step reservations
- Automated check-in / check-out availability transitions
BharatBiz AI
AI-First Business OS for 63M Indian MSMEs & Kirana Stores
An enterprise-grade POS, GST compliance engine, and business OS built for India's 63 million Kirana stores and MSMEs. Orchestrates 4 autonomous AI agents — Vision (OCR), Voice (Hindi/Hinglish), GST Auditor, and Auto-Reorder — to eliminate manual billing errors, automate compliance, and dispatch WhatsApp invoices natively.
- 4-agent AI pipeline: OCR receipt scanner, Hindi voice billing, GST auditor & smart reorder
- Autonomous GST Compliance Auditor auto-corrects HSN mismatches & exports GSTR-1/3B
- WhatsApp-native invoicing & supplier POs — meeting 70% of Kirana communication where it happens
System & Pipeline Topology
SVG_FLOW_DRAW_ON_SCROLLReal-Time Canvas Synchronizer
Illustrates how player drawing coordinate events are broadcasted, cached, and persisted with sub-50ms latency.
Predictive Analytics Engine
Illustrates how raw match logs translate to instantaneous team probabilities integrated with feature explainability.
Professional Timeline
A chronological summary of engineering roles, client work, and program participations.
B.Tech in Information Technology
IIEST, ShibpurFocusing on core computer science foundations, algorithmic analysis, and software engineering methodologies.
- Current CGPA: 7.77 / 10
- Key Coursework: Data Structures & Algorithms, OOP, DBMS, Operating Systems, Computer Networks
Machine Learning Intern
Tamizhan Skills (RISE Program)Developed and evaluated classification and clustering models using Scikit-learn, applying end-to-end ML workflows on real-world datasets.
- Performed data preprocessing, feature engineering, and model validation
- Improved predictive performance through systematic experimentation and evaluation
Let's build something
extraordinary together.
Whether you are screening for placements (Flipkart GRiD, campus drives), evaluating ML capabilities, or looking for high-quality freelance execution, get in touch. Response turnaround typically under 24 hours.