Headline

Co-Founder & CTO | Generative AI | Agentic AI Platforms | Defence-Tech | HealthTech | Enterprise SaaS | RAG | Multi-Agent Orchestration | MLOps

About

I build AI companies from zero — and I architect the technology that makes them revenue-generating machines. Over a decade, I've co-founded three technology ventures spanning Defence AI, HealthTech, and Enterprise SaaS — serving simultaneously as principal architect, product strategist, and commercial leader. My platforms run in production at sub-150ms latency, achieve 99.2% agentic task accuracy, and generate recurring revenue growing at 45–50%+ quarter-on-quarter. I operate across the full spectrum — from LLM fine-tuning and RAG pipeline architecture to enterprise monetisation, investor narratives, and board governance. I've delivered ₹10 Cr in HealthTech pilot revenue, secured defence-tech partnerships with premier institutions and mentored 2000+ postgraduate students through applied AI programmes. I've spoken at AIDA User Group 2024, AICRA 2024, and Bangalore Space Expo 2024 on responsible GenAI and aerospace-grade AI systems. My top 5 areas of expertise: 🔹 Generative AI & Agentic Systems — RAG pipelines, multi-agent orchestration, LLM fine-tuning, RAGAS evaluation, production-grade GenAI at enterprise scale 🔹 Technical Architecture — Distributed systems, edge-cloud hybrid inference, microservices, QWIP/HiDeNN integration, defence-grade and HIPAA-compliant system design 🔹 MLOps & Engineering Excellence — Kubernetes, MLflow, Terraform, CI/CD, vector databases, model versioning — cutting release cycles from weeks to 36 hours 🔹 AI Product Strategy & Monetisation — Tiered SaaS models, OKR-driven roadmaps, competitive intelligence, P&L ownership, go-to-market execution 🔹 Zero-to-One Venture Building — Co-founder leadership, pre-seed fundraising, board governance, IP creation, and scaling engineering cultures from scratch If you're building something that demands both deep technical credibility and commercial impact — let's connect. 📩 geeklordabhishek@gmail.com | Bengaluru, India

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

cursor

deepmind

deepseek

Work experience

Chief Technology Officer at Monal Technology Pvt Ltd, Mar 2026 - Present · 7 mos, Bengaluru, I have architected a technical vision that sits at the unique intersection of high-level R&D and career-centric education. By operating at the critical edge of Quantum Technology and Intelligence Modeling, I have successfully harmonized high-dimensional modeling with quantum-ready compute to create a "Future-First" infrastructure. This strategic approach ensures that our frontier research doesn't remain theoretical; instead, it powers a practical, project-first pedagogy that prepares the next generation of specialists for a quantum-integrated world. By bringing this infrastructure of the future into today’s operational landscape, we are redefining the standards for intelligence modeling and autonomous systems, ensuring our technology remains both scalable and industry-aligned. In executing this vision, I have overseen the development of a compute framework that has increased high-dimensional modeling efficiency by 40%, enabling the simultaneous processing of complex datasets across multiple quantum-simulated environments.

Chief Advisor To The Board at Prodhee Technologies, Feb 2026 - Present · 8 mos, Bengaluru · Hybrid

Co-Founder And Chief Scientific Officer at Andromeda Logic Corp Private Limited, Dec 2025 - Present · 10 mos, Bengaluru, Reflecting on my journey co-founding and scaling Andromeda Logic Corp, taking our autonomous AI platform from concept to a multi-crore revenue enterprise business has been an incredible exercise in bridging deep-tech engineering with commercial growth. To serve my anchor clients across defense, aerospace, and government verticals, I architected a production-grade agentic AI stack featuring sub-150 ms decision latency on constrained field hardware and designed a self-healing multi-agent orchestration engine that maintains 99.2% task completion accuracy in production. On the defense intelligence front, I integrated QWIP sensor arrays with HiDeNN neural architectures to deliver a 28% improvement in threat classification under adversarial noise, while my hybrid RAG platform slashed knowledge retrieval latency by 65%. Supported by an enterprise-grade MLOps infrastructure I established to compress model release cycles from weeks to under 36 hours, alongside a Responsible AI governance framework I defined to pass strict security due diligence, these technical milestones directly fueled my business expansion—allowing me to structure a tiered SaaS monetization model that generated a 50%+ quarter-on-quarter recurring revenue growth across three consecutive quarters and scaled the venture into a high-growth, multi-crore commercial success.

Chief Product & Technology Officer at Prodhee Technologies, Jun 2025 - Feb 2026 · 9 mos, Bengaluru · Hybrid, Architected an AI-driven clinical intelligence platform — from founding to live multi-hospital pilot in under 8 months. Built NLP-based medical entity extraction, FHIR-compliant data pipelines, and predictive diagnostic models. Reduced clinician time-to-insight by 55% via transformer-based clinical note summarisation. Designed a HIPAA-aligned microservices backend — zero critical findings across all third-party security audits. Achieved 99.95% platform uptime across live hospital integrations. Delivered ₹1.2 Cr in contracted pilot revenue in Year 1. Structured outcome-based SaaS pricing (per-bed/per-clinician + enterprise tiers) and established proprietary IP in clinical NLP — creating defensible assets in investor due diligence.

VP, Product & Technology (Consulting) at Genesis, Jul 2023 - Jun 2025 · 2 yrs, Bengaluru, Designed and shipped a GenAI-powered adaptive learning engine personalising content in real time using student performance vectors — built on a fine-tuned LLM with live context injection. Deployed NLP auto-grading for open-ended assessments: cut manual evaluation workload 65%, reduced feedback turnaround from 5 days to under 4 hours. Built predictive intervention analytics with 50% faster model training. Directed monolith-to-microservices migration, tripling concurrent user capacity with zero latency degradation at peak load. Achieved 99.9% uptime during high-stakes assessments. Delivered 38% higher learner engagement, 22% better course completion, and enabled the client to onboard 30 new institutional contracts — all without infrastructure incidents.

Founder & Chief Product Technology Officer at Glanceable International, Jun 2020 - Jul 2025 · 5 yrs 2 mos, Bangalore Urban, Founded and scaled an enterprise AI product company over six years across three simultaneous product lines. Architected a GenAI platform (RAG + vector DBs + instruction-tuned LLMs) cutting knowledge retrieval latency 60%. Built a multi-agent orchestration framework improving task throughput 40%. Designed hybrid cloud-edge inference at sub-200ms with 30% lower cloud spend. Compressed model release cycles from 3 weeks to 48 hours via end-to-end MLOps. Led QWIP/HiDeNN implementation for defence-grade ISR. Established a Responsible AI framework reducing AI support incidents 70%. GenAI monetisation model drove 45% QoQ recurring revenue growth. Directed AI roadmap contributing to 15% market share gain. Deployed RAGAS-based evaluation improving model accuracy 35%. CI/CD culture improved deployment frequency 4× with 40% lower release lead time.

Education

Bachelor's degree, Physics Chemistry And Mathematics, HimalayanUniversity