A timeline,
plainly stated.
Professional trajectory, academic background, and community involvement.
- ETL scripts in Python to ingest data from APIs and CSVs into PostgreSQL; eliminated daily manual extraction.
- Queried production database using joins, subqueries and window functions; rewrote slow queries after EXPLAIN analysis.
- Built classification and clustering models for customer segmentation; ran A/B testing and presented to stakeholders.
- Pulled and cleaned data from PostgreSQL to build a weekly ops dashboard — SQL views and Python formatting.
- Wrote stored procedures replacing repetitive manual queries; saved hours of team time weekly.
- Delivered structured process improvement analysis to internal stakeholders.
- AI-native manufacturing ERP/MES/WMS platform with live clients and published pricing.
- Built production ERP/MES modules with AI-assisted scheduling, real-time shop-floor monitoring and predictive maintenance.
- Integrated VeriSpec (MTC compliance) as a core verification layer for manufacturing clients including CIRCOR International.
- Open-source AI community organising workshops, hackathon mentoring and a multidisciplinary Faculty Development Program on AI.
- Evolving into a digital agency in 2026 while keeping the open-source community track running.
- Repositioned AI08 as a digital agency practice — client engagements alongside the open-source community.
- Founder and technical CEO of Araskova Labs — deep-tech research and product studio.
- Visual data intelligence startup building Drishti — robotics and sports AI data infrastructure.
- Shipped skeleton extraction, auto-annotation and synthetic data pipeline (MediaPipe Pose, YOLOv8-Pose, ByteTrack, DeepSORT).
- XGBoost + LSTM ensemble for biomechanical risk scoring; TimescaleDB for telemetry; DVC for dataset versioning.
- Architected Sankalp, Pratirop and Viniyog divisions; led pivot to sports AI coaching with cricket as primary vertical.
- Coordinating DPIIT registration, iDEX DISC 14 and YC applications alongside the technical build.
Hackathon Mentor at SREC (2023–2026) — guiding student teams through AI/LLM implementations. NLP & ML Workshop Conductor (2024) — hands-on sessions for 100+ students on tokenisation, fine-tuning and deployment.
Deep Learning Specialization (DeepLearning.AI) · Introduction to Kubernetes (Linux Foundation) · LangChain for LLM Application Development · AWS Cloud Practitioner Essentials · Building Systems with the ChatGPT API · Vector Search (Pinecone) · Introduction to Generative AI (Google Cloud) · SQL & Relational Databases 101 (IBM) · Introduction to LLMs (Google Cloud) · NoSQL Databases (IBM) · DBMS (Infosys) · Machine Learning Foundations · Introduction to Docker · Responsible AI.