QUANTUM AI OK
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World-class minds.
Teaching Bangladesh.

Quantum AI OK is bringing some of the world's leading AI, LLM, and No-Code professors — from MIT and beyond — directly to students, entrepreneurs, and professionals across Bangladesh.

Portrait of Krishna Mohan

Krishna Mohan

MS · MBA | AI Consultant · Educator · Practitioner
AI/ML Mentor — Quantum AI OK programs with MIT Professional Education & UT Austin
linkedin.com/in/krishnamohnkrishnamohan.co
Generative AILLMs & RAGMachine LearningDeep LearningTransformersAI StrategyPredictive AnalyticsExecutive Education

Profile

AI educator and practitioner with 30 years of experience spanning corporate technology leadership, data engineering, and AI implementation. Armed with an MBA and MS in Engineering, Krishna bridges the gap most educators can't: business strategy depth combined with hands-on technical expertise. He designs and delivers graduate-level and executive AI programs that translate complex concepts into decisions learners can actually execute — no hype, just what works.

300+
Hours of Instruction
200+
Live Sessions Delivered
1000+
Senior Professionals Mentored
4.6–5.0
Sustained Learner Ratings

Teaching & Mentoring

AI/ML Mentor & Consultant
Mar 2024 – Present
Great Learning — MIT · UT Austin · Global
  • Mentors 200+ senior professionals and CXOs across AI/ML programs affiliated with MIT Professional Education and UT Austin — spanning healthcare, legal, finance, and manufacturing. Delivers 300+ hours of live instruction over 200+ sessions with sustained ratings of 4.6–5.0.
  • Specialises in making complex topics — CNNs, RNNs, Transformers, time-series forecasting, LLMs, RAG systems, and generative AI — immediately applicable to real-world business contexts; provides one-on-one mentoring on AI project scoping, team readiness, and governance frameworks.
Professor of Practice – Business Analytics
Jun 2024 – Jul 2025
T A Pai Management Institute (TAPMI), Manipal · Bengaluru
  • Designed and delivered core courses in Business Statistics, Machine Learning, and Big Data Analytics for the inaugural MBA Technology Management cohort, developing innovative case-study-based materials bridging quantitative rigour with applied business thinking.
  • Academic success of the first cohort directly contributed to significant expansion of student intake the following year, validating the curriculum design and instructional approach.
Visiting Faculty – Data Analytics & Machine Learning
2016 – 2020
Great Lakes Institute of Management & Great Learning · India
  • Conducted 60+ postgraduate sessions on Statistical Data Analysis, Data Mining, Predictive Analytics, and ML for working professionals in full-time and executive MBA programs; developed industry-grounded curriculum connecting statistical foundations with modern ML tools and business decision-making.

Research & Applied AI Projects

Ontology-Based RAG System for Financial Document Analysis
2024 – 2025
Independent Research
  • Designed and implemented a production-grade RAG pipeline for SEC 10-K filing analysis, combining relational vector search (PostgreSQL + pgvector) with graph-based semantic reasoning via a Neo4j ontology layer.
  • Benchmarked four retrieval architectures — dense vector, sparse BM25, hybrid, and graph-enhanced hybrid with CrossEncoder reranking; the ontology-augmented hybrid approach delivered highest precision and relevance scores, demonstrating that domain ontologies meaningfully improve RAG quality for structured financial corpora.
  • Publication: "Does Ontology make RAG Smarter?" — Medium, 2025.

Industry Experience

Director – Software Engineering
Jun 2020 – Jan 2024
Clarivate · Bengaluru
  • Built and scaled a 200+ member cross-functional engineering organisation across Academia, Life Sciences, and Patents; managed 12 engineering managers and championed MDM governance standards across three business units.
  • Delivered AWS-native MDM SaaS platform consolidating 82 disparate legacy systems — achieving 50% improvement in content curation efficiency and $10M+ in annual savings through Agile transformation and automation.
  • Delivered 40+ customer-centric product features in partnership with C-suite stakeholders, aligning technology roadmap with enterprise growth and client retention strategies.
Head – Legal Technology (Interim)
Jan 2020 – Jun 2020
Thomson Reuters · Bengaluru
  • Led 180-member team delivering mission-critical Legal Technology solutions across India and Korea, reporting directly to the CTO; defined technology strategy, growth objectives, and GTM priorities improving client engagement across key accounts.
Senior Manager – Technology
Mar 2011 – Dec 2019
Thomson Reuters · Bengaluru
  • Built and scaled a 60+ member engineering team delivering data-driven legal analytics across 10 countries (US, UAE, Qatar, Australia, NZ, Hong Kong, South Korea, Singapore, India); partnered with VPs and CTOs to achieve $4.5M annual cost savings and led digital transformation spanning Java/J2EE, Spring Boot, Angular, and cloud-native architectures.
  • Worked closely with VP/CTO to define organisational strategy, budgeting, and delivery roadmaps for key revenue-generating products; mentored next-generation engineering leaders across globally distributed teams.
Earlier Roles
2002 – 2011
LexisNexis · Ajilon Consulting · Commdex Consulting (Motorola) · USA
  • Project Manager at LexisNexis (Reed Elsevier) — enterprise search and database integration for Science Direct and Scopus; spearheaded a $2B Public Safety Systems bid for Motorola (New York), ensuring deployment of 80+ mission-critical communication systems.

Publications & Presentations

  • "Does Ontology make RAG Smarter?" — Medium Publication, 2025
  • "Application of Machine Learning to Predict Court Outcomes" — International Conference on Business Analytics & Intelligence, IISc Bangalore, 2016
  • "Predictive Analytics in Legal" — CYPHER Data Analytics Conference, Bangalore, 2016
  • "Data Analytics in Legal" — IIM Bangalore Conference on Business Analytics, 2015

Education

MBA
Carl H. Lindner College of Business, University of Cincinnati, USA
MS · Engineering
College of Engineering & Applied Science, University of Cincinnati, USA
BE · Engineering
Bangalore University, India

Core Teaching Areas

Machine Learning & Deep Learning
CNNs · RNNs · Transformers · XGBoost · Time-Series Forecasting
Generative AI & LLM Systems
RAG Pipelines · Prompt Engineering · Fine-tuning · AI Agents
AI Strategy & Governance
Use Case Identification · ROI Frameworks · Ethics & Responsible AI
Business & Predictive Analytics
Statistical Analysis · Data Mining · Predictive Modelling
Programme Design & Curriculum
Executive Education · MBA Programmes · Competency Frameworks

Languages

English · Kannada · Hindi · Tamil · Telugu
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