Headline

Senior AI Engineer | Production Agentic AI · Computer Vision · Digital Twins | Open to Singapore

About

Senior AI Engineer with 5+ years of experience building production-grade Agentic LLM systems and industrial Computer Vision solutions. I specialise in designing reliable agentic workflows with tool calling, structured outputs, validation loops, and systematic hallucination mitigation. Recently led the end-to-end delivery of an AI adoption platform that reduced engineering parameter selection time from 2–3 hours to 3 minutes (97.5–98.3% effort reduction) while achieving 75% prediction accuracy and sub-100ms latency. Additional impact: • Digital Twin / Point Cloud pipeline → ~80% IoU with 1.5–2.4 mm accuracy • YOLOv11 oil leakage detection → 84% mAP at 40 FPS, cutting inspection time from 30–35 minutes to near real-time I combine deep technical execution with client-facing skills — embedding with engineering teams, driving AI adoption, mentoring engineers, and explaining trade-offs to non-technical stakeholders. Currently based in India and actively exploring Senior AI Engineer opportunities in Singapore. Open to relocation on short notice. Open to conversations about production Agentic AI, Industrial AI, or Digital Twin roles.

Location

Bengaluru

AI stack

antigravity

claude code

codex

cursor

gemini

github copilot

Work experience

Project Lead at ASM Technologies Ltd, Apr 2026 - Present · 6 mos, Bengaluru, AI/ML Engineering | Industrial AI | Computer Vision | Generative AI • Lead development of AI/ML solutions addressing engineering, manufacturing and industrial use cases across Computer Vision, 3D AI, Generative AI and predictive analytics. • Work across the AI lifecycle — problem definition, data preparation, model development, evaluation, API integration and application-level deployment. • Developed a 3D AI solution for factory-layout understanding using point-cloud processing, KPConv, DBSCAN and RANSAC for automated asset detection and spatial understanding. • Processed multi-GB 3D point-cloud datasets and achieved approximately 80% object/segmentation performance during validation. • Reduced duplicate asset detection by approximately 85% during validation. • Developed AI-based visual inspection solutions using YOLO for manufacturing quality inspection, achieving approximately 84% mAP during POC validation. • Reduced manual inspection effort by approximately 25 minutes per engine during visual-inspection POC validation. • Developed machine-learning solutions for manufacturing parameter prediction using Random Forest and engineering/process data. • Built FastAPI-based services to expose ML predictions through application workflows. • Developed and explored Generative AI solutions using LLMs, RAG and embeddings for knowledge-based and AI-assisted applications. • Apply AI coding assistants including Claude, Cursor and Kimi for code generation, debugging, refactoring, code review and development acceleration. • Collaborate with engineering and business stakeholders to translate domain problems into measurable AI solutions and evaluate feasibility, accuracy, latency and operational impact.

Senior Engineer at ASM Technologies Ltd, Aug 2025 - Aug 2026 · 1 yr 1 mo, Bengaluru, At ASM Technologies Ltd, I focused on advancing 3D perception and point cloud processing to optimize digital twins and automate asset recognition. My role involved engineering automation through CAD generation and electrical schematic creation, while also applying AI to improve manufacturing processes. This comprehensive approach allowed for significant enhancements in cost estimation and machining optimization.

Machine Learning Engineer at ASM Technologies Ltd, Aug 2025 - Aug 2026 · 1 yr 1 mo, Design and deploy production computer vision systems, document processing pipelines, and AI-driven recommendation engines for enterprise engineering platforms. Own end-to-end ML pipeline development: data collection and annotation, model architecture design (CNN, transformer-based approaches), training with PyTorch/TensorFlow, hyperparameter tuning, evaluation metrics calculation, and containerized production deployment via Docker. Develop multi-engine OCR systems with intelligent fallback mechanisms; integrate document processing with deep learning for structured data extraction from complex PDFs. Optimize inference pipelines for production constraints: minimize latency (<100ms target), reduce memory footprint, implement batch processing, and ensure robustness across diverse input conditions. Build reproducible ML training infrastructure: implement model versioning, automated evaluation workflows, performance benchmarking, regression testing, and systematic model promotion through development→staging→production environments.

Engineer at L&T Technology Services, Feb 2022 - Jul 2025 · 3 yrs 6 mos, Bengaluru, Karnataka, India

Engineer at L&T Technology Services, Feb 2022 - Jul 2025 · 3 yrs 6 mos, Bengaluru, Karnataka, India, • Conducted comprehensive sales and revenue forecasts by analyzing pipeline data and project revenue details. • Facilitated weekly scheduling calls with sales overlays and project managers to ensure alignment on revenue goals. • Presented analytical findings to the Head of Business Unit, driving informed decision-making and strategic planning. • Enhanced data accuracy and reporting efficiency, contributing to a more streamlined forecasting process.

Associate Engineer at L&T Technology Services, Feb 2022 - Jun 2023 · 1 yr 5 mos

Data Scientist at Rubixe AI Solutions, Apr 2021 - Dec 2021 · 9 mos, Built end-to-end ML pipeline: exploratory data analysis, feature engineering, model training (Scikit-learn, TensorFlow), and comprehensive evaluation using standard metrics. Developed predictive models for customer churn forecasting; performed unsupervised learning (K-means clustering) for customer segmentation and behavioral analysis. Created interactive Tableau dashboards visualizing model insights; communicated findings to non-technical stakeholders through data-driven visualizations. Conducted data cleaning, normalization, and feature selection; utilized Python libraries (Pandas, NumPy, Matplotlib, Seaborn) for data wrangling and statistical modeling.

Data Science intern at Rubixe, Mar 2021 - Dec 2021 · 10 mos, Bangalore Urban, Karnataka, India, Worked as a Data Scientist intern. My responsibilities were to analyze the given data and provide insights using the given Labelled data.

data science trainee at DataMites™, Jan 2021 - Mar 2021 · 3 mos, Bangalore Urban, Karnataka, India, Joined this institute to pursue Data Science Certification

Education

Postgraduate Degree Certification, Artificial Intelligence and Machine Learning, The University of Texas at Austin

Bachelor's Degree, Mechanical Engineering, Vidya vardhaka engineering college