yashaswi k

Co-Founder

Hyderabad, Telangana, India6 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Reduced ML training pipeline time by 57%
  • Integrated Azure DevOps with Kubernetes for scalable CI/CD
  • Leveraged AWS Bedrock for Generative AI solutions
Stackforce AI infers this person is a Machine Learning Engineer with a strong focus on MLOps and cloud-based solutions.

Contact

Skills

Core Skills

MlopsCi/cd

Other Skills

AI AgentsAWS KafkaAWS LambdaAWS SMEAWS SageMakerAWS SecurityAlgorithm DevelopmentAmazon Web Services (AWS)Apache AirflowAws machine learningAzure DevOps ServicesContinuous Integration and Continuous Delivery (CI/CD)CrewAIData ScienceDatabricks

About

Proficient Machine Learning Engineer with extensive experience in developing and deploying scalable ML models and solutions. Expertise spans the entire ML lifecycle, including data preprocessing, model training, evaluation, and operationalization, with a strong focus on efficiency and robustness. Proven ability to bridge machine learning with cloud and DevOps technologies for seamless deployment and enhanced scalability. Key Skills include Python, SQL, NumPy, Pandas, PySpark, SciPy, Sklearn, TensorFlow, Keras, NLP, Generative AI, and time series analysis. Proficient in AWS (SageMaker, Lambda, Step Functions, ECR), Azure ML, Snowflake, and Databricks for cloud-based ML implementations. Skilled in Docker, Kubernetes, Terraform, CI/CD pipelines, Git, GitHub, and Azure DevOps, ensuring robust infrastructure as code and scalable deployments. Adept at using MLflow and Airflow for model orchestration and workflow management, and building RESTful APIs with Flask and FastAPI. Experienced with H2O.ai for automated ML and predictive analytics. Notable achievements include reducing ML training pipeline time by 57%, integrating Azure DevOps with Kubernetes for scalable CI/CD, and leveraging AWS Bedrock for Generative AI solutions, enhancing predictive accuracy. Seeking challenging opportunities to apply advanced ML, cloud, and DevOps skills to impactful business solutions.

Experience

Modmed

Founding Senior MLE/MLOps Engineer

Sep 2025Present · 6 mos · Hyderabad, Telangana, India

  • Spearheading MLOps architecture for ModMed’s AI initiatives in India, driving automation, scalability, and production readiness for GenAI models such as AI Klara and AI RCM.
  • Designed end-to-end CI/CD pipelines using GitHub Actions, Terraform, and Argo CD, ensuring seamless deployment across environments.
  • Implemented model registration, versioning, and automated endpoint creation using Databricks, AWS Lambda, ECR, and Kubernetes.
  • Integrated Datadog for real-time monitoring, Postman for endpoint testing, and AWS Kafka for event-driven data streaming.
  • Built internal Streamlit apps to visualize and manage ML workflows.
  • Established MLOps best practices across the AI organization—standardizing infrastructure as code, observability, and reproducibility.
MLOpsCI/CDTerraformGitHub ActionsKubernetesDatabricks+6

Pepsico

Machine Learning Engineer

Nov 2023Aug 2025 · 1 yr 9 mos · Hyderabad, Telangana, India · Hybrid

Tiger analytics

Senior Analyst - Machine Learning Engineer

Dec 2021Nov 2023 · 1 yr 11 mos

Infosys

Data Scientist

May 2019Nov 2021 · 2 yrs 6 mos · Hyderabad, Telangana, India

Education

Chaitanya Bharathi Institute Of Technology

BE - Bachelor of Engineering — Information Technology

Jan 2015Jan 2019

Sri Chaitanya Junior College, Bhaskar Bhavan

Intermediate Education — M.P.C

Jan 2013Jan 2015

Triveni Talent School - India

Secondary Education

Jan 2013Present

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