Naren Babu

Lead ML Engineer

Bengaluru, Karnataka, India7 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led AI-driven products generating $20M+ in annual revenue.
First ML hire at two startups, driving core technical strategy.
Mentored a team of 6 engineers in high-impact ML systems.

Stackforce AI infers this person is a SaaS and Healthcare-focused AI/ML expert with strong leadership capabilities.

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Skills

Core Skills

Machine LearningComputer Vision

Other Skills

Agentic AIAlgorithm DesignAlgorithm DevelopmentAlgorithmsAmazon Web Services (AWS)Applied Machine LearningArtificial IntelligenceArtificial Neural NetworksBig DataCC (Programming Language)C++Creative Problem SolvingData AnalysisData Analytics

About

AI/ML engineer with 7 years of experience building, scaling, and leading AI-driven products from inception to large-scale adoption. As the first ML hire at two startups and now a Principal ML Engineer leading a team of 6, I’ve driven core technical strategy across LLMs, Generative AI, Agentic AI, RAG systems, and Computer Vision. My work has powered products used by thousands of enterprise users, contributed to multiple funding rounds, and generated $20M+ in annual revenue. I specialize in end-to-end ownership—from research and modeling to deployment and optimization—while mentoring engineers, shaping roadmap decisions, and establishing high-quality engineering and ML practices.

Experience

Prezent

3 roles

Principal ML Engineer

Promoted

Feb 2023 – Present · 3 yrs 1 mo

Designed MagicFill, an end-to-end automated presentation generation platform that creates complete slide decks (text, layout, images, branded templates) from a single prompt, reducing manual effort by 80% and used daily by thousands of enterprise users.
Built SuperHawk, a large-scale slide–image analysis system with 95%+ accuracy, detecting 817 element types across icons, shapes, objects, flows, and 3D assets, trained on 3M+ images.
Developed a content-aware image compression system that preserves key semantics while reducing file size by 70%, significantly cutting storage and latency costs.
Created the FIT Question Analyzer, a prompt-quality evaluation model assessing focus, numerical reasoning, and time sensitivity, achieving 91% F1 and boosting prompt success rates.
Drove ML roadmap decisions, optimized large-scale inference latency, and mentored a team of 6 ML/AI engineers to deliver high-impact systems.

Object DetectionObject TrackingFacial RecognitionAgentic AIPyTorchLarge Language Models (LLM)+14

Lead Machine Learning Engineer

Promoted

Jul 2021 – Jan 2023 · 1 yr 6 mos

Machine Learning Engineer L2

Feb 2021 – Jun 2021 · 4 mos

In-d - power of ai

R&D Engineer AI/ML

Jul 2020 – Jan 2021 · 6 mos · Greater Chennai Area

• Created an AI-driven medical coding automation system that extracts medical terms and maps ICD/CPT codes with 96.4% accuracy, trained on 50K+ summaries, reducing manual coding effort dramatically.

Machine LearningMedical CodingData Analysis

Tango eye

Data Scientist

Aug 2018 – Apr 2020 · 1 yr 8 mos · Greater Chennai Area, India

Built a Person Re-identification model with 95% accuracy across multi-camera setups, trained on 350K images, enabling reliable end-to-end shopper journey tracking.
Developed a criminal facial recognition system for the Greater Chennai Police, trained on 63K+ mugshots, accelerating suspect identification.
Implemented an automated parking AI system for a 400-car facility to detect slot availability, violations, and authorization, eliminating the need for manual supervision.

Facial RecognitionData ScienceComputer Vision