Mohit Kumar Dubey — CTO

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: 7+ years building performant iOS apps with Swift, SwiftUI, AVFoundation, and custom SDKs, achieving 99.8% crash-free stability. 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 Management LLMs (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 AI Engineering Strategy, Team Building, Mentoring, System Design, Performance Management, Roadmapping, OKR Delivery, Stakeholder Collaboration, Pre-sales Engagement, and Cross-functional Execution.

Stackforce AI infers this person is a Fintech and Media expert with strong capabilities in AI-driven solutions.

Location: Bengaluru, Karnataka, India

Experience: 15 yrs 5 mos

Skills

Generative Ai
Engineering Leadership
Natural Language Processing (nlp)
Machine Learning
Ios Development
Software Architecture

Career Highlights

14+ years leading AI and ML initiatives.
Proven track record in architecting LLM systems.
Achieved 99.8% crash-free stability in iOS apps.

Work Experience

Entermind AI

Head of Engineering - AI, ML and Engg (4 mos)

VerSe Innovation

Director (5 mos)

Associate Director (1 yr 7 mos)

Software Architect (2 yrs 8 mos)

Principal Software Engineer (2 yrs 11 mos)

Lead Software Engineer (1 yr 9 mos)

Torry Harris Business Solutions

Senior Software Engineer (2 yrs 1 mo)

GlobalLogic

Senior Software Engineer (1 yr 5 mos)

Levitate Mobile Technologies

Windows Phone 7 App Developer (5 mos)

Ritusha Consultants Pvt. Ltd.

Dot Net Tech Support (1 yr 11 mos)

Education

Executive Post Graduate Programme in Machine Learning & AI at International Institute of Information Technology Bangalore

Bachelor’s Degree at DVS

High School at HAL Vidyalaya

Mohit Kumar Dubey

CTO

Bengaluru, Karnataka, India15 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

14+ years leading AI and ML initiatives.
Proven track record in architecting LLM systems.
Achieved 99.8% crash-free stability in iOS apps.

Stackforce AI infers this person is a Fintech and Media expert with strong capabilities in AI-driven solutions.

Contact

Skills

Core Skills

Generative AiEngineering LeadershipNatural Language Processing (nlp)Machine LearningIos DevelopmentSoftware Architecture

Other Skills

Agentic AILarge Language Models (LLM)MCP ServersRetrieval-Augmented Generation (RAG)CrewAILangChainLangGraphGen AIMulti Agent FrameworkGPT-4GeminiLLMCohere Embedding and RankerLarge Language Model Operations (LLMOps)Deep Learning

About

Experience

15 yrs 5 mos

Total Experience

3 yrs

Average Tenure

4 mos

Current Experience

Entermind ai

Head of Engineering - AI, ML and Engg

Jan 2026 – Present · 4 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.

Agentic AILarge Language Models (LLM)MCP ServersNatural Language Processing (NLP)Generative AIRetrieval-Augmented Generation (RAG)+1

Verse innovation

5 roles

Director

Promoted

Jun 2025 – Nov 2025 · 5 mos

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.

CrewAILangChainLangGraphGen AIAgentic AIMCP Servers+7

Associate Director

Nov 2023 – Jun 2025 · 1 yr 7 mos

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

Generative AILarge Language Models (LLM)Large Language Model Operations (LLMOps)Machine LearningDeep LearningiOS Swift+22

Software Architect

Apr 2021 – Dec 2023 · 2 yrs 8 mos

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

Generative AILarge Language Models (LLM)Large Language Model Operations (LLMOps)MLOpsMachine LearningDeep Learning+20

Principal Software Engineer

Promoted

Apr 2018 – Mar 2021 · 2 yrs 11 mos

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.

Model-view-viewmodel (MVVM)CocoaArchitectureCore DataDatabasesProfiling Tools+9