Open to opportunities

Himanish Bajaj

@himanishbajaj

Message

AI & Machine Learning Engineer building scalable enterprise ML, RAG assistants, and forecasting systems.

India

Message

What I'm looking for

I’m looking to build production-ready, KPI-aligned ML and Generative AI systems—RAG assistants, forecasting, and scalable data pipelines—working with cross-functional teams and owning architecture through delivery.

I’m an AI and Machine Learning Engineer with 4+ years of experience designing, deploying, and scaling enterprise-grade ML, NLP, computer vision, and generative AI solutions. I’ve delivered KPI-driven forecasting systems, predictive analytics platforms, and real-time AI pipelines across automotive, fintech, analytics, and EdTech.

Most recently, as a Senior Machine Learning Engineer at ZF Group, I led a team of 5 to build multi-region analytics and unified reporting pipelines using Delta Lake architectures. I also developed an enterprise RAG-based chatbot for DevOps documentation discovery and built production-ready systems aligned with business KPIs and data reliability goals.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

ZF Group

Aug 2024 - Present (1 year 7 months)

Led a team of 5 engineers to deliver KPI-driven multi-region customer and financial insights. Built forecasting models and enterprise Delta Lake reporting pipelines, and developed a RAG-based DevOps chatbot to improve documentation discovery and reduce support workload.

Forecasting KPIs Delta Lake Databricks Pyspark MLOps RAG Vector Databases LangChain CI CD Lang Chain

Machine Learning Engineer

Josh Software

Jan 2023 - Jul 2024 (1 year 6 months)

Developed hybrid CNN-Transformer models for non-OCR PDF extraction to convert handwritten documents into structured datasets. Built ARIMA/SARIMA forecasting and NLP chatbots for financial intelligence, and implemented real-time dashboards and ETL/fraud analytics pipelines using TensorFlow, Django, and PostgreSQL.

CNN Transformer Models OCR Free Document Extraction ARIMA NLP TensorFlow Django PostgreSQL ETL

AI Engineer

Radius Seed Venture

Sep 2021 - Dec 2022 (1 year 3 months)

Designed a VR-based AI learning console using computer vision and mixed-reality techniques to improve student engagement. Implemented neural network pipelines with 20% improved performance and added sentiment analysis modules that increased EdTech client positive feedback by 15%, supporting new client acquisition.

Computer Vision Mixed Reality Neural Networks Sentiment Analysis Neural Pipeline Optimization AI Fatigue Reduction

AI Engineer

Drop Seed Venture

Feb 2021 - Jul 2021 (5 months)

Built cost-efficient night-vision agricultural drones with GPS-enabled mapping and implemented obstacle detection computer vision to improve navigation reliability. Developed warehouse computer vision inventory tracking systems and integrated autopilot AI modules to support agricultural automation workflows.

Computer Vision GPS Autopilot Sensors