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
