Amal Singh is an AI/ML Engineer specializing in end-to-end GenAI pipelines, advanced RAG systems, and ML model development. He has delivered large-scale enterprise AI solutions, including processing 6M+ sustainability reports, building Azure-deployed chatbot platforms, and developing high-recall healthcare vision models. His expertise spans MLOps, cloud integration, automation, and multimodal analytics across consulting, healthcare, and enterprise domains. With strong system design, Agile execution, and documentation practices, he consistently delivers production-ready AI solutions with measurable business impact.

Amal Singh

Amal Singh is an AI/ML Engineer specializing in end-to-end GenAI pipelines, advanced RAG systems, and ML model development. He has delivered large-scale enterprise AI solutions, including processing 6M+ sustainability reports, building Azure-deployed chatbot platforms, and developing high-recall healthcare vision models. His expertise spans MLOps, cloud integration, automation, and multimodal analytics across consulting, healthcare, and enterprise domains. With strong system design, Agile execution, and documentation practices, he consistently delivers production-ready AI solutions with measurable business impact.

Available to hire

Amal Singh is an AI/ML Engineer specializing in end-to-end GenAI pipelines, advanced RAG systems, and ML model development. He has delivered large-scale enterprise AI solutions, including processing 6M+ sustainability reports, building Azure-deployed chatbot platforms, and developing high-recall healthcare vision models. His expertise spans MLOps, cloud integration, automation, and multimodal analytics across consulting, healthcare, and enterprise domains. With strong system design, Agile execution, and documentation practices, he consistently delivers production-ready AI solutions with measurable business impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Hindi
Fluent

Work Experience

Tech Analyst at Benori
March 1, 2025 - Present
- Built large-scale Gen AI data pipelines leveraging LangChain, LangGraph, and related technologies; - Designed and implemented end-to-end AI initiatives (platform), enabling enterprise-scale processing, data ingestion and deployment; - Contributed to enterprise Gen AI strategy and cross-functional collaboration. - Supported data analytics initiatives, built data pipelines, and contributed to AI-led projects; - Collaborated with cross-functional teams to drive automation and insights.
Senior Engineer (Data Science) at AIMILL LTD
September 1, 2024 - March 1, 2025
Built computer vision models for diabetic retinopathy and glaucoma detection; achieved 96% recall and strong mAP; designed and deployed CV pipelines; contributed to AI initiatives in healthcare.
AI Engineer at Freelance
June 1, 2024 - August 1, 2024
- Automated sales and HR workflows using Google Sheets, Apify, Apollo.ai, OpenAI Whisper, and AI-assisted scoring - Led development of a LangGraph-based RAG chatbot for a PropTech startup enabling real-time property exploration with maps, reviews, and conversations. - Applied Agile principles to maintain alignment with evolving AI integration.
Data Scientist Intern at Predli
March 1, 2024 - June 1, 2024
Built a multi-user agent chatbot using LLMs and NLP to facilitate automated conflict resolution; implemented OCR-assisted data extraction and NLP pipelines.

Education

Post Graduate Diploma in AI, ML and Data Science at Plaksha University, Mohali, India
January 11, 2030 - November 30, 2025
Bachelor's Degree in Business Administration, Business Analytics at GITAM University, Hyderabad, India
July 1, 2019 - July 1, 2023

Qualifications

Post Graduate Diploma in AI, ML and Data Science
January 11, 2030 - November 30, 2025
Bachelor of Business Administration, Business Analytics
July 1, 2019 - July 1, 2022

Industry Experience

Software & Internet, Professional Services, Healthcare, Computers & Electronics, Life Sciences, Other, Education, Media & Entertainment