Mohit Kumar Dubey

Head of Engineering - AI, ML and Engg @ Entermind AI

About

Head of Engineering with 14+ years of experience leading Generative AI and Machine Learning initiatives and iOS engineering at scale. Proven expertise in architecting LLM/RAG systems, agentic AI services, fintech apps, and cross-platform solutions.AI/ML: 7+ years of hands-on work in LLMs, Agentic RAG, Multi-Agent Workflows, agentic AI, NLP, MLOps, Transformers, PyTorch, TensorFlow, LangGraph, CrewAI, LangChain MCP Servers, Agent to Agent (A2A) protocols and production-grade ML deployments using FastAPI, Flask, and Streamlit and Amazon Sagemaker, Vertex AI.iOS: Building performant iOS apps with Swift, SwiftUI, AVFoundation, and custom SDKs, achieving 99.8% crash-free stability.More than 10 years of strong record in scaling and leading teams (10–35 engineers), system design, mentoring, and delivering high-impact consumer, fintech, and AI-driven products.Skills Summary- AI and ML along with Architecture designing for large scale AI problems- Mobile Architecture design and End to End development- Leadership and Development- Relationship Management and Client Interactions- Project and Delivery ManagementLLMs (OpenAI, Hugging Face), RAG, agentic RAG, LangChain, Agentic AI, Transformers, Prompt Engineering, Sentiment Analysis, Classification, MLOps, Data Pipelines, Model Deployment, PyTorch, TensorFlow, Kubernetes, Docker, AWS/GCP, CI/CD, Amazon Sagemaker, Vertex AIEngineering Strategy, Team Building, Mentoring, System Design, Performance Management, Roadmapping, OKR Delivery, Stakeholder Collaboration, Pre-sales Engagement, and Cross-functional Execution.

Country

India

City

Bengaluru

Industry

Computer Software

Skill

Engineering Leadership, Natural Language Processing (NLP), RecSys, PyTorch, Retrieval-Augmented Generation (RAG), ElevenLabs, Docker, Kubernetes, OpenAI Whisper, OpenAI CLIP, CrewAI, LangChain, LangGraph, Gen AI, Agentic AI, MCP Servers, Multi Agent Framework, GPT-4, Gemini, LLM

Experience

Head of Engineering - AI, ML and Engg

Entermind AI

2026-1 - Present · 9 mos

Federal Territory of Kuala Lumpur, Malaysia

– Architected and launched Rukun Ready – a production-grade LLM Guardrail model (32B) fine-tuned on Malaysia’s Rukun Negara principles, enabling culturally aligned and policy-safe AI outputs; published on HuggingFace (EntermindAI/Rukun-32B-V) https://huggingface.co/EntermindAI/Rukun-32B-V. – Engineered a Retrieval-Augmented Generation (RAG) Knowledge Base for the sales team, indexing historical presentations and internal documents to enable instant, context-aware information retrieval – reducing manual search time and accelerating pre-sales response cycles. – Designed and deployed Conversational AI systems for Claims Processing and HR workflows, replacing manual form-driven processes with natural language interfaces and AI-driven validation checks, improving operational efficiency across departments. – Drove company-wide AI adoption strategy for a lean startup, identifying and automating high-frequency recurring processes using LLM pipelines – enabling the team to scale output without proportional headcount growth.

Director

VerSe Innovation

2025-6 - 2025-11 · 6 mos

Bengaluru, Karnataka, India

• Directed development of GenAI solutions including Conversational AI + Agentic RAG for personalised loan matchmaking. • Spearheaded Multi-Agent News Summariser to autonomously retrieve and summarise trending content by genre. • Led engineering (35+ team) across Mobile, Web, Backend, and AI/ML to stabilise and scale Buddy- Loan app and backend platform. • Designed ML models for customer credit-risk scoring and deployed AI-driven financial insights for lenders. • Shipped end-to-end telemetry, new loan journeys, and offer personalisation (PA/PQ) improving loan conversion.

Associate Director

VerSe Innovation

2023-11 - 2025-6 · 1 yr 8 mos

Bengaluru, Karnataka, India

Product: - [Gen AI] Daily Tatva - RAG powered by best LLM - Josh - https://apps.apple.com/in/app/josh-videos/id1530819820 - Dailyhunt - https://apps.apple.com/in/app/dailyhunt-formerly-newshunt/id338525188 - RAG search system - Prompt optimisation - Intent identification - LLM interacation and cost optimisation - 99.8% crash free users - 85+% of notifications click to video play - 90+% video play on app launch - Custom FMP4 framework - Custom M3U8 framework - Custom Ads framework - 14 services for user acquisition - Third party integrations - Outshore client interactions

Software Architect

VerSe Innovation

2021-4 - 2023-12 · 2 yrs 9 mos

Bengaluru, Karnataka, India

• Developed and deployed Josh/Dailyhunt GenAI microservices for editorial workflows, crash analysis, and decisioning pipelines. • Designed ML pipelines for crash pattern analysis, enabling proactive anomaly detection and reducing manual intervention. • Scaled iOS apps to 99.8% crash-free, boosted video playback by 50% (FMP4), and improved notification analytics by 68% with cross-platform PoCs (RN, KMP). • Built a decisioning service for CTR/CTA validation against third-party mappings. Product: GenAI LLM powered application evaluator for Crash prevention Josh - https://apps.apple.com/in/app/josh-videos/id1530819820 Dailyhunt - https://apps.apple.com/in/app/dailyhunt-formerly-newshunt/id338525188

Principal Software Engineer

VerSe Innovation

2018-4 - 2021-3 · 3 yrs

Bengaluru Area, India

• Led the evolution of Dailyhunt platforms with AI-readiness in architecture, enabling future inte- gration of recommendation engines and ML-based personalization. • Engineered modular SDKs for networking, ads, and video (FMP4 with caching), enabling scalable and reusable architecture. • Migrated legacy apps from Objective-C to Swift with MVVM-C, integrating hooks for ML-based A/B testing and content recommendations.