Dinesh kumar

Co-Founder

Bengaluru, Karnataka, India10 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

10+ years of experience in AI and MLOps.
Expert in transforming AI concepts into practical solutions.
Strong background in generative AI and data science.

Stackforce AI infers this person is a SaaS and AI solutions expert with a strong focus on data-driven strategies.

Contact

Skills

Core Skills

Artificial Intelligence (ai)MlopsGenerative AiCloud ComputingData ScienceMachine LearningNatural Language Processing

Other Skills

GenAI solutionsAI strategyAI MVPsVideo creationAPI integrationDocker ProductsPersonalizationNLPKnowledge GraphMentoringTeachingCase StudiesDigital MarketingProgramming LanguagesLeadership

About

Looking to harness AI's potential for your business? I specialize in turning complex AI capabilities into practical, revenue-generating solutions. I understand both the technical depths and business applications of AI. Work with me to: 1. Transform your existing products with AI capabilities 2. Build new AI-powered solutions from scratch 3. Set up scalable MLOps infrastructure 4. Develop practical AI strategy aligned with your business goals 5. Want to build a quick POC 6. Don't know, just want to chat about how AI can change your game My experience spans education, eCommerce, healthcare, and fintech sectors, helping companies like yours move from AI concept to implementation. As an IIT Delhi alumnus with hands-on experience in generative AI, machine learning, and large-scale systems, I bridge the gap between cutting-edge technology and business value. Open to consulting and strategic partnerships to help your organization thrive in the AI era.

Experience

Self-employed

Gen AI and MLOps Consultant and Engineer

Oct 2023 – Present · 2 yrs 5 mos · Remote

I partner with companies to cut through the AI hype and deliver practical, powerful solutions that actually move the needle. Whether you’re looking to automate workflows, personalize customer experiences, or bring an AI product to life, I help you do it fast, affordably, and with clarity.
🔧 My focus areas:
GenAI solutions (chatbots, content automation, summarization tools)
MLOps & AI deployment (from prototype to scale)
AI strategy for startups and traditional businesses alike
Building AI MVPs that unlock new revenue or radically cut costs
🧠 I’ve helped:
Early-stage founders get to MVP in weeks
Teams navigate RAG, fine-tuning, prompt engineering, and more—with hands-on support
💬 If you're curious about how AI can fit into your business—or want a sounding board to avoid costly missteps—let’s talk. I’m always open to advising, co-creating, or building something exciting together.

GenAI solutionsMLOpsAI strategyAI MVPsArtificial Intelligence (AI)

Pixanimate

Founder

Sep 2022 – Aug 2023 · 11 mos

Pixanimate harnesses the power of Generative AI to redefine video creation. Our platform facilitates the generation of high-quality, customizable videos with just a click of a button.
We're equipped for fast turnaround, ensuring your message reaches your audience without delay. Our diverse template options and affordable pricing plans make our services accessible to businesses of all sizes.
Our cutting-edge technology includes integration with Chat GPT for generating natural language voice-overs, and a seamless API for integrating our AI video creation technology into your existing platforms. From translating complex information into easily digestible videos to producing captivating eCommerce content, Pixanimate leverages Generative AI to take video content to the next level.
www.pixanimate.com

Generative AIVideo creationAPI integrationCloud Computing

Exium

2 roles

Senior Lead Data Scientist

Jan 2022 – Sep 2022 · 8 mos

Responsible for delivering end to end data needs of the product from all fronts - platform, engineering, analytics and data science

Data ScienceCloud ComputingDocker Products

Data Science Lead

Aug 2020 – Oct 2022 · 2 yrs 2 mos

Data ScienceCloud ComputingDocker Products

Swiggy

Data Scientist

Apr 2018 – Jun 2020 · 2 yrs 2 mos · Bengaluru, Karnataka, India

Working on Personalisation, relevance and ranking problems to increase efficiency/CTRs in the customer journey funnel to increase overall conversion of the platform at scale of swiggy (~40+ Mn customers). Not just the model building, even deploying them at this scale and making sure things are working as we want by collaborating with product, engineering and analytics.
More precisely problems like-
1. Restaurant ranking
2. Menu personalisation
3. Payment gateway routing
4. Preferred payment option selection
5. Cross-sell stuff

Data SciencePersonalizationMachine Learning

Nineleaps

Data scientist

Mar 2017 – Apr 2018 · 1 yr 1 mo · Bengaluru, Karnataka, India

I worked with roamanalytics.com here.
The main work was around building a knowledge graph around US healthcare domain.
Work involved a lot of NLP which includes getting out Named Entities (using semantics, syntactics and ML) from unstructured text and populating that in the Neo4j Graph. Also used lot of ML to make connections in the graph to make it interesting and informative.
Tool-wise: Python left, right center, all DS libraries Pandas, numpy, sci-kit, Spark, Neo4j , Airflow, AWS infrastructure etc.

NLPKnowledge GraphMachine LearningData ScienceNatural Language Processing

Lendingkart technologies

Senior Data Scientist

Aug 2016 – Mar 2017 · 7 mos · Ahmedabad Area, India

Lendingkart is a Fintech operating in B2B domain.
Summary of my stay there in terms of projects and skills I acquired.
1. Designed the entire mobile analytics platform and coded it in python. (Learned a lot of software engineering stuff: AWS, Testing, Deployment etc)
2. Analysing the user SMSs for getting insight into her credit rating. Learnt a lot of NLP during this which includes:
a) Semantic and Syntactic Analysis of SMSs.
b) Training word vectors for the financial SMS context and tried to use them for certain tasks.
c) Clustering of documents to get more insight into user behaviour.

Shadowfax

Operations Analyst

Oct 2015 – Feb 2016 · 4 mos · Bangalore, India

Story-
It was an early stage startup with one main motive- growth. Team building was in progress and there was minimal interaction between teams. I with one or two more people connected those dots. As I knew Technology as well as had a good understanding of business, started exploring business and Technology from all aspects. Interacted with different teams and made them realise the relevance of other departments and how they can use the work done by others.
Being in a startup you have to do everything which comes your way. I also had to go through this interesting path- I've done sales, marketing, operations, data stuff, giving training, motivating people etc etc...
If I've to put it formally, then-
Explored many important KPIs which made business more quantitative and objective.
Defined many critical processes which people use everyday.
Made many interactive and real time dashboards for personal use, and later after many iterations passed it to entire operations team across cities.
Designed, monitored and analysed ROIs of various promotional offers and did predictive analysis for exploring more into the schemes.
Modelled the cluster business model using machine learning which made it more dynamic and most importantly self scalable as new clusters add. But due to business constraints couldn't implement it at that stage.
Did proper segmentation of clients and many other stakeholders which helped us target the correct audience.