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MLOps developers in India - Rituraj K.
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Rituraj K.

Vetted MLOps developer in India (UTC+6)

Accomplished Data and MLOps Engineer with over 6 years of experience spearheading innovative data solutions for large enterprises and leading startups. Possesses a robust background in data engineering with a specialization in MLOps and DataOps.

MLOps developers in India - shankar K.
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shankar K.

Vetted MLOps developer in India (UTC+6)

· Over 18 years of experience in software development including leadership roles in **Project Management, Architecture Design, Research & Innovation** · More than 12 years of experience in leading and implementing data analytics using descriptive, predictive, and prescriptive analytics across diverse domains, including **Telecom, Finance, Customer and Marketing Analytics, as well as Network and Cybersecurity analytics** · **Master’s** in data science and engineering from BITS Pilani · Extensive hands-on experience in leveraging **Business Intelligence, Big Data tools Statistical Models, Machine Learning, Deep Learning, NLP techniques, Large Language Models (LLMs), Forecasting Techniques, Recommendation systems, and Graph Analytics** to deliver innovative and data-driven solutions · Hand-on experience in multiple programming languages like **C, C++, Java, Scala, Golang** and Proficient in **Python** · Hands-on experience with data science frameworks and tools, including **Spark, Scikit-learn, TensorFlow, PyTorch, Lang Chain, OpenLLM, Vertex AI, Azure AI, and AWS Sage Maker** · Spearheaded **Advanced** **Research & Innovation,** developing proof-of-concepts **(POCs)** to solve complex business challenges · Designed and implemented Generative AI applications using **LLMs**, **RAG systems** with **Lang Chain** Framework and **Prompt Engineering** · In-Depth understanding of state-of -the-art language models (LLMs) and architectures, training and fine-tuning methodologies · Deployed scalable End to End Big data AI/ML solutions in **AWS/GCP** cloud and on-prem Infrastructure, leveraging Containerization Technologies (**Docker, K8S**), **ML Ops**, and **CI/CD** automated pipelines to deliver enterprise-grade solutions · **Built, led and mentored** a high-performing Data Science Team, fostering a culture of innovation and continuous learning · Literature review, workshops, conferences and publish papers · Published my research as chapter in Rever Publishers: **Implementing Enterprise Cyber Security with Open-Source Software and Standard Architecture: Volume II**

MLOps developers in India - Chandan D.
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Chandan D.

Vetted MLOps developer in India (UTC+6)

I am a Senior Machine Learning Engineer with experience in developing and deploying efficient AI models to solve business problems. I have expertise in building scalable solutions by leveraging various industry-standard technologies like Docker, Kubernetes, APM solutions, SDLC, and REST API frameworks.

MLOps developers in India - Ashutosh V.
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Ashutosh V.

Vetted MLOps developer in India (UTC+6)

Hi, I am a Data Scientist, have experience for almost 5 years. I have worked in several size of startups and build ML/AI applications. My primary skills are NLP and ML. I even have interest in AI product development.

MLOps developers in India - Karan K.
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Karan K.

Vetted MLOps developer in India (UTC+6)

AI/ML Engineer at Calsoft with 2+ years of industry experience, where I leverage AI and ML to solve complex business problems and deliver high-quality solutions that drive value for clients. I have industry experience in building predictive models, developing end-to-end machine learning pipelines, and deploying ML and LLM applications using a range of tools and technologies, such as Rasa, Machine Learning, NLP, Deep Learning, Statistics, Product Analytics, MLOps, FastAPI, Flask Python, SQL, Tableau, AWS, and Generative AI.

MLOps developers in India - Krishna K.
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Krishna K.

Vetted MLOps developer in India (UTC+6)

My name is **Krishna Sangeeth**, I am a **Machine Learning engineer** who is living in India. My last full time job was as a Machine Learning Lead at Avalara focussing on MLOps and Document AI in a fintech domain. Priort to that I worked in the Global AI Accelerator group of Ericsson as a Senior Data scientist working on Timeseries Analysis, Anomaly detection etc in Telecom domain. Prior to Ericsson I have worked on solving large scale hierarchial classification at Indix and Data Fusion for Nielsen. I have also had a run in with many diverse engineering problems at TCS working on things ranging from legacy systems such as Mainframes, Fortran to Bigdata systems like Spark, Hadoop etc. I care deeply about building software, specifically about building software systems where there is intersection of **Distributed systems** and **Artificial Intelligence**. Not really a fan boy of any particular technology stack , but i do tend to use Python for getting most of the things done. I am an **open-source** enthusiast with successful code contributions made to projects such as scikit-learn, mlflow etc. You can find some of the work that i have done over [here](https://whiletruelearn.github.io/projects/)

MLOps developers in India - Himanshu S.
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Himanshu S.

Vetted MLOps developer in India (UTC+6)

I hold an Integrated Masters in Mathematics and Computing with a GPA of 8.1 from IIT Kharagpur. Currently, I work as a Senior Data Scientist at Dream 11, specializing in Python, Pytorch, Spark, Machine Learning, NLP, and Deep Learning. My projects include user segmentation, propensity modeling, Multi Armed Bandits optimization, attribution framework development, and data validation using NLP. At MSCI, I worked on automating the RCA process and at American Express, I led the development of Fraud Application models for identity theft.

MLOps developers in India - jithin K.
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jithin K.

Vetted MLOps developer in India (UTC+6)

Currently working as a backend developer at TCS, specializing in developing advanced Gen AI chatbots and optimizing workflows with the Langchain framework. Skilled in implementing machine learning solutions for chatbots, automated processes, conversational AI, and ticket routing services.

MLOps developers in India - Vipin K.
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Vipin K.

Vetted MLOps developer in India (UTC+6)

Principal Data Scientist with over a decade of experinece delivering strategic business value through data science tools and techniques. Key strengths in advanced mathematics, programming, ML development and cross-functional communications. Have received delivery excellence award from Govt. of India for key Govt. AI project seamless delivery.

MLOps developers in India - varun S.
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varun S.

Vetted MLOps developer in India (UTC+6)

Experienced AI/ML Engineer with over 5 years of full-stack AI/ML solution development, specializing in Large Language Models (LLM), Generative AI, and GPT. Proficient in integrating state-of-the-art research into practical AI architectures successfully implemented LLM and Generative AI products in media and entertainment sectors. My leadership skills are demonstrated through guiding a team of five in AI/ML innovations, fostering a culture of continuous learning and innovation § **END-TO-END AI/ML SOLUTIONS:** Demonstrated proficiency in full-stack AI/ML development, with a comprehensive background in **_LLM, Generative AI, Computer Vision, NLP, MLOps, and data engineering_,**leading to the delivery of robust AI products and actionable solutions for complex business challenges. § **STRATEGIC AI LEADERSHIP:** As a team leader and mentor, **guided AI/ML teams in developing and executing visionary AI** strategies aligned with company goals. This includes **managing vendor relations, heading project teams, and fostering a culture of continuous innovation and learning.** § **AI RESEARCH AND DEVELOPMENT_:_** Adapted cutting-edge research into practical applications, significantly **enhancing AI architectures for business use cases.** Notably authored **award-winning research** papers on digital governance and developed predictive models for e-governance, earning recognition in national reports. § **Diverse AI Framework Proficiency:** Showcased versatility across multiple AI platforms and tools, including **TensorFlow, PyTorch, FastAPI, and various cloud services**. This also encompasses the deployment of machine learning models, **leveraging Docker, Kubeflow, and MLflow, and optimizing infrastructure for scalability**.

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