Ishank Nagpal

Co-Founder

Bengaluru, Karnataka, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Scaled EdTech platform to ₹1.4Cr revenue in 12 months.
Reduced operational overhead by 70% through automation.
Led cross-functional teams to deliver impactful AI solutions.

Stackforce AI infers this person is a skilled AI product builder with expertise in EdTech and automation.

Contact

Skills

Core Skills

Ai Product DevelopmentTeam LeadershipMachine Learning

Other Skills

API DevelopmentAWSAmazon Web Services (AWS)Artificial Intelligence (AI)AtlasAttention to DetailAutomated systemsBackupBusiness StrategyC++Cascading Style Sheets (CSS)Code ReviewComputer VisionData AugmentationData Engineering

About

I'm an AI product builder who thrives in the chaos of building 0-to-1 consumer tech platforms. I co-founded and scaled Sqilco (EdTech) to ₹1.4Cr revenue while leading a cross-functional team of 17 people – from raising ₹70L from Ultra HNIs to serving 480+ students with AI-powered learning platforms I built from scratch. My superpower is moving fast with limited resources. Whether it's architecting AI automation systems that reduce operations by 70%, building complete LMS platforms in 4 weeks using Claude Code and Cursor, or managing ₹30Cr+ digital infrastructure for multi-branch coaching institutes – I find creative ways to prototype and scale solutions that create real impact. Currently managing digital operations at scale while seeking opportunities to build AI-driven consumer tech products. I'm obsessed with using AI to make companies faster, leaner, and smarter – and I bring both the technical chops and team leadership experience to make it happen. 🎯 Core Strengths: AI Product Development | Team Leadership | 0-to-1 Building | Rapid Prototyping | EdTech | Automation | Fundraising 💼 What I Bring: - Built and led 17-person cross-functional team (sales, marketing, tech, operations) - Raised ₹70 Lakhs from Ultra HNI investors - Architected AI-powered platforms from scratch using modern tools (Claude Code, Cursor, OpenAI/Claude APIs) - Scaled NEET counselling platform 8x (₹10L → ₹80L in 3 months) - Reduced operational overhead by 70% through intelligent automation - Ex-IBM ML Engineer (improved model precision by 23% in production)

Experience

1 yr 9 mos

Total Experience

10 mos

Average Tenure

Current Experience

Zynerd & genesis classes

Senior Software Development Engineer (Contract)

Mar 2025 – Present · 1 yr 3 mos · India · Remote

ZYNERD - NEET Counseling Platform (https://www.zynerd.com/auth/login)
Architected three-tier microservices with 9 modules, 50+ REST APIs, and PostgreSQL database managing 10K+ student records across 1,000+ institutions
Built real-time chat (Socket.io) supporting 500+ concurrent connections and virtual scrolling for 10K+ rows
Integrated Razorpay gateway processing ₹8M in transactions with automated reconciliation
Implemented JWT/OTP authentication, document verification (6 types), and RBAC for secure multi-role access
Achieved 8x revenue growth through performance optimization and scalable architecture
Genesis Classes (https://genesisclasses.com/)
Technical Architect
Enterprise Architecture
Architected microservices infrastructure handling ₹300Cr+ in bi-annual transactions with 99.95% uptime
Built automated admission system reducing manual processing by 70%
Designed multi-tenant architecture supporting 5 branches and 5 schools with centralized management
Implemented comprehensive monitoring, backup, and disaster recovery systems

MicroservicesREST APIsPostgreSQLSocket.ioRazorpayJWT+3

Sqilco

Co-Founder & Builder

Feb 2024 – Mar 2025 · 1 yr 1 mo · On-site

Co-founded and scaled an EdTech platform providing skill-based courses (Full-Stack Development, Data Science, AI, Analytics, Cybersecurity) to college and post-college students. Built from 0 to ₹1.4Cr revenue in 12 months, raised ₹70L from Ultra HNIs, and served 480+ students before strategic wind-down after market positioning challenges.
System Architecture & Development
Architected full EdTech platform with 100+ REST APIs across 14 modules serving 500 MAUs
Designed PostgreSQL (Sequelize ORM) + MongoDB hybrid database with 14 optimized models
Built event-driven notification engine: 20+ event types across in-app, email, and WhatsApp channels
Developed real-time features with Socket.io: notifications, leaderboards, and live updates
Implemented JWT/OAuth 2.0 authentication and RBAC for 3 user types with XSS/CSRF protection
Automation & Impact
Created batch lifecycle automation saving 15 hours/week (85% operational reduction)
Built MCQ assessment module with auto-grading and responsive React dashboards (Tailwind + Shadcn/ui)
Established CI/CD pipelines and optimized AWS/Vercel infrastructure (40% cost reduction)
Leadership & Business Results
Led team of 4 engineers: code reviews, architecture decisions, sprint planning
Scaled 0→₹1.4Cr revenue in 8 months serving 1,200+ students
Raised ₹70L seed funding and managed complete P&L
Tech Stack: React, Node.js, Express, Next.js, PostgreSQL, MongoDB, Socket.io, JWT/OAuth, AWS, Vercel

REST APIsPostgreSQLMongoDBSocket.ioAWSVercel+2

Ibm

Machine Learning Engineer

Apr 2023 – Dec 2023 · 8 mos · On-site

Led translation quality improvements for production-grade AI system, boosting model precision from 55% to 78% and recall from 48% to 75% over 8 months through systematic experimentation.
Reduced correction rate by 45% (from 40% to 22%) through advanced data augmentation and fine-tuning
Implemented multi-task learning system achieving 30% lower latency for production deployment
Built automated evaluation pipeline tracking 15+ quality metrics for continuous model improvement
Drove cross-functional alignment launching 3 major model iterations in 8 months
Owned weekly performance reviews for senior engineering leaders
Key Learnings: Rapid ML experimentation cycles, A/B testing for AI in production, quality vs. latency trade-offs, and building robust evaluation frameworks.
Tech Stack: TensorFlow, PyTorch, Python, Multi-task Learning, Synthetic Data Generation

TensorFlowPythonMulti-task LearningData AugmentationMachine Learning