Chiranjeev Ghai

Co-Founder

Delhi, Delhi, India10 yrs 10 mos experience

AI EnabledHighly Stable

Key Highlights

Architected AI-first platforms with real-time capabilities.
Led cross-functional teams to drive high-scale projects.
Expertise in Generative AI and Computer Vision.

Stackforce AI infers this person is a SaaS and B2C expert with a strong focus on AI/ML and high-concurrency systems.

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Skills

Core Skills

Ai/mlEngineering LeadershipMlBackend DevelopmentMachine Learning

Other Skills

Engineering CultureComplianceIntegrationReal-Time SystemsServer-Driven UIConcurrencyLockingComputer VisionData AnalysisInfrastructureGamificationMLOpsDeep LearningRemote SensingNLP

About

Engineering Leader & CTO with 10+ years of experience architecting large-scale distributed systems and AI/ML platforms. Proven track record of architecting products and scaling systems to millions of users. Deep expertise in Generative AI, Computer Vision, and building high-performance engineering cultures across cross-functional teams (Product, Design, Legal, Operations).

Experience

10 yrs 10 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 7 mos

Current Experience

Juleo

Co-Founder

Oct 2023 – Present · 2 yrs 7 mos · Gurugram, Haryana, India

Architected and launched an AI-first relationship platform (backed by $2.5M angel funding). Built and scaled the engineering ecosystem from concept to production, supporting 50,000+ verified users and real-time interaction infrastructure for 10,000+ active participants.
CORE LEADERSHIP & ORG BUILDING
Engineering Culture: Recruited and led a cross-functional team across Engineering, ML, Product, and Design; established CI/CD processes, code review standards, and technical roadmaps.
Compliance & Integration: Led integrations with government ID verification APIs, criminal record checks, and payment gateways to ensure platform safety and regulatory compliance.
AI/ML & GENAI ARCHITECTURE
Automated Trust & Safety: Engineered a Multi-modal GenAI moderation system (Vision + Text) to detect NSFW content, solicitation, and fraud, reducing human moderation dependency.
Hybrid Matchmaking Engine: Developed a recommendation system combining deterministic heuristics (behavioral/socio-economic) with probabilistic signals from LLM-generated profile embeddings.
Socio-Economic Profiling: Deployed GenAI pipelines to analyze user-uploaded media for socio-economic inference, enhancing matching granularity.
SYSTEM DESIGN & INFRASTRUCTURE
Real-Time "Bump" Detection: Architected a proximity-based identity verification protocol using multi-variate signal correlation. The system processes device accelerometer telemetry against GPS thresholds (<100m) via a low-latency polling architecture.
Server-Driven UI (SDUI): Designed a flexible server-driven architecture for Android/iOS, enabling dynamic UI/UX rendering and hot-updates from the backend without app store releases.
Concurrency & Locking: Engineered a seat reservation system for physical events using atomic locking mechanisms to eliminate race conditions and ensure conflict-free bookings.

AI/MLEngineering CultureComplianceIntegrationReal-Time SystemsServer-Driven UI+3

Zomato

Engineering Manager

Feb 2019 – Sep 2023 · 4 yrs 7 mos · Gurugram, Haryana, India · On-site

Led ML, Backend, and Infrastructure teams to build high-scale growth engines and operational platforms. Managed a team of 20+ engineers/senior engineers, driving ML infrastructure and new vertical launches.
HIGH-SCALE ENGAGEMENT & GAMIFICATION INFRASTRUCTURE
Real-Time Gaming Engine: Architected a high-concurrency gamification platform capable of sustaining 100k+ concurrent users (CCU) during peak live events (IPL).
Prediction & Rewards Systems: Designed the backend for "Zomato Prediction League" and "Trivia," handling burst traffic for real-time leaderboards and atomic reward distribution.
Stochastic Engagement Models: Developed the "Coin-Toss" module to drive user retention, engineering a system to handle massive spikes in coupon redemption requests with zero downtime.
AI/ML PLATFORMS & PERSONALIZATION
MLOps & Inference Pipeline: Architected a low-latency ML deployment system that streamlined model integration for user-facing services, reducing time-to-production for new models.
GenAI Integration: Built early-adoption GenAI services using LLMs (Gemini/GPT) for conversational commerce (Food Recommendation Chatbot) and automated Customer Support.
Personalization at Scale: Deployed Reinforcement Learning models for personalized dish recommendations and embedding-based "Similar Restaurant" suggestions to recover lost conversions during unserviceable scenarios.
Computer Vision for Operations: Implemented CV pipelines for automated menu digitization, utilizing dish detection and text recognition to scale merchant onboarding.
STRATEGIC PRODUCT LAUNCHES
Food on Train: Led the end-to-end technical execution of the train delivery vertical. Orchestrated cross-functional collaboration across Logistics, Search, Payments, Legal, and external rail partners to solve complex dynamic location delivery challenges.

MLBackend DevelopmentInfrastructureGamificationReal-Time SystemsMLOps+1

Agribazaar.com

Senior Manager - Machine Learning

Jun 2018 – Feb 2019 · 8 mos · Greater Delhi Area · On-site

Deep Learning for Quality Control: Architected Deep Neural Networks (DNN) to automate crop quality assessment, processing physical sample imagery to replace manual grading with high-precision computer vision models.
Satellite Yield Estimation: Led R&D initiatives on remote sensing and satellite imagery analysis, utilizing multi-spectral data to forecast crop yields and optimize supply chain planning.

Deep LearningComputer VisionRemote SensingMachine Learning

Monotype solutions india

Software Engineer II

Jun 2015 – Jun 2018 · 3 yrs · Noida, Uttar Pradesh, India · On-site

Visual Search Engine (WhatTheFont): Engineered the core machine learning models for "WhatTheFont" (mobile app), utilizing Convolutional Neural Networks (CNNs) to identify fonts from raw images with high accuracy.
High-Dimensional Vector Search (Patented): Invented a "Font Similarity" search engine by mapping fonts into a high-dimensional vector space. Utilized CNN feature extraction and t-SNE for dimensionality reduction to enable intuitive visual discovery.
Brand Safety NLP: Developed Natural Language Processing (NLP) classifiers to detect unauthorised "reseller" accounts on social media, protecting brand integrity for enterprise advertising clients.
Automated Content Curation: Deployed image classification pipelines to tag and organize User-Generated Content (UGC) across 27+ semantic categories, streamlining asset discovery for marketing platforms.

Machine LearningNLPImage Classification