Mohsin hasan khan

• AI/ML Technical Leader with 10+ years driving AI strategy, building high-performing teams, and delivering production systems at scale

• Deep technical expertise across AI/ML spectrum: LLMs & RAG, computer vision, time-series, reinforcement learning and MLOps

• Proven team builder: Built and led teams of 10+ ML engineers/data scientists; established best practices, career development paths, and technical excellence

• Strategic visionary: Define AI roadmaps aligned with business priorities; balance innovation with production readiness and measurable impact

• Architectural oversight: Review and guide system design for scalability, robustness, and compliance; step in for critical technical decisions

• Cross-functional collaborator: Partner with Product, Engineering, and C-suite to embed AI solutions; translate business challenges into scalable AI systems

• Industry recognition: Kaggle Grandmaster, conference speaker, and thought leader in applied ML

Co-founder & Chief AI Architect- NeuralHQ , Bengaluru, India 03/2024 - Present

• Founded and led applied AI consultancy, defining technical strategy and driving business growth from zero to product-market fit

• Built and managed technical team of 6 engineers (3 ML, 3 software); designed hiring process, conducted all technical interviews, and established engineering culture

• Defined AI/ML roadmap for multiple client engagements; balanced innovation, feasibility, and business impact

• Architected production AI systems: Agentic RAG system (2000 QPS, 90% accuracy), multi-modal retrieval, conversational AI

• Established engineering best practices: Code review process, Git workflows, testing standards, CI/CD pipelines, documentation

• Mentored team members on ML architecture, evaluation methodologies, and production deployment strategies

• Client-facing technical leadership: Translated business requirements into technical solutions; presented architecture decisions to stakeholders

• Rapid delivery: Consistently shipped MVPs to production in 4-6 weeks with clear success metrics and measurable impact

Manager, Data Science- OkCredit , Bengaluru, India 10/2020 - 08/2022

• Built and led data science team of 10 (6 data scientists, 4 analysts) from ground up; defined roles, hiring criteria, and team structure

• Drove AI/ML strategy for lending business ($1M+ loan book, <1% default rate); aligned technical roadmap with business objectives

• Led fraud detection initiative: Multi-layered ML + graph analysis system processing 1M+ transactions/month; reduced fraud by 60%

• Built ML platform infrastructure using Seldon + Kubernetes; enabled rapid model deployment (weeks → days) and A/B testing

• Architected real-time systems: Sub-100ms inference for fraud detection; real-time voice workflow for 3M+ users

• Established MLOps practices: Model versioning, monitoring, drift detection, automated retraining, performance dashboards

• Cross-functional leadership: Collaborated with Product, Engineering, and C-suite; presented technical insights to drive business decisions

• Technical oversight: Reviewed model architectures, data pipelines, and production deployments; stepped in for critical technical decisions

Lead Data Scientist- J2 Reliance Pvt. Ltd. , London, UK 08/2022 - 12/2023

• Led ML strategy for retail forecasting serving French hypermarket chain (100k+ products, 50+ stores)

• Architected end-to-end ML infrastructure: Data pipelines, distributed training, model serving, monitoring, and alerting

• Mentored data scientists and interns on time-series modeling, evaluation methodologies, and production best practices

• Established model governance: Drift detection, retraining triggers, performance monitoring, and automated alerting

• Delivered measurable impact: 15% reduction in out-of-stocks in pilot store; system rolled out to 50+ stores

Machine Learning Engineer (Technical Lead)- Healthifyme , Bengaluru, India 12/2018 - 03/2020

• Led computer vision initiative for food recognition system serving 20M+ users (4000+ classes)

• Managed data collection and annotation strategy: Built 1M+ image dataset with quality control processes

• Architected personalized recommendation system using matrix factorization + optimization; increased revenue by 40%

• Technical oversight: Model architecture design, training pipeline optimization, deployment strategy (<200ms inference)

Lead Data Scientist- General Electric Aviation , Bengaluru, India 03/2016 - 06/2017

• Led predictive maintenance initiative for aircraft engines; developed forecasting models on sensor data

• Established ML best practices: Conducted Python workshops and ML paper reading sessions for engineering team

• Delivered 10% reduction in turnaround time through data-driven optimization

Masters in Aerospace engineering from IIT Kanpur