Pranay Chandekar

About Pranay Chandekar

Lead AI Engineer with 6.5 years of experience in leading the design, development, and production of large-scale NLP systems by following Agile practices in a fast-paced environment. As a founding MLOps Engineer, weaved the Hybrid MLOps Platform. Certified in Data-Driven Decision Making and Deep Learning. Open-source contributor for GPTCache, Langchain, etc. Contributing writer for Towards Data Science and Analytics Vidhya on Medium. Mentor on Topmate. Currently building the Prompt Engineering Platform for GenAI applications. Primary Responsibilities at Phenom People:• Enhance the Search and Recommendation Engines.• Lead the design of the AI Infrastructure by leveraging the MLOps LLMOps tools to scale ML projects.• Onboarding teams on the upgraded infrastructure by conducting workshops.Notable Achievements:• Led the project - AutoScaling with SPOT on EKS that reduced the stateless applications cost by 23.82%.• Led the Learning To Rank(LTR) projects to improve the NDCG of the Search Engine by 10.13% andsurpassed the target OKRs• Leveraged Reinforcement Learning to increase the online testing rewards by 32.71%.• Led the POD and the BBR recommendation engine enhancement project, resulting in 17.34% and13.77% CAGR of the conversions to user engagement ratio respectively.Soft Skills - Team Work, Leadership, Listening, Effective Communication, Critical Thinking, TimeManagement, Problem SolvingAlgorithms - Linear Regression, Logistic Regression, Decision Trees, Random Forest, Bagging, Boosting, XG Boost, Binary Classification, Multi-class Classification, Ordinal Classification, Deep Learning, Learning To Rank - LTR, Multi-Armed Bandits.Programming - Python, JavaFrameworks - FastAPI, Keras, Tensorflow, PyTorch, Flair, Hugging Face, LangchainCloud - AWS SageMaker, IAM, Lambda, ECR, S3, EventBridge, EC2, Terraform, AzureMLOps Tools - MLFlow, Prefect, Redash, Kubeflow, Datahub, Feast, Argilla, Labelbox, Streamlit, Gradio, GPTCache, Rebuff, Agenta, Pheonix ArizeOther Tools & Technologies - ElasticSearch, MongoDB, Kafka, Redis, Docker, Kubernetes, Helm Charts,Logstash, Kibana, PostgreSQL, Grafana, Weaviate

Experience

1. Product Development Engineer Iii

   Phenom

   Feb 2022 — Present

   Led the project on Auto Scaling. Prepared strategies for HPA and CA using AWS SPOT Instances onKubernetes that reduced the stateless applications cost by 23.82%.• Led the MLOps platform upgrade - Model Monitoring Drift Computations, Continuous Training, CML,and Feature Store. Reduced the MLOps cost by 29.46%.• Designed the framework to leverage LLM for data generation to speed up ML project development.• Led the development of a No Code platform to evaluate and monitor all the GenAI Apps at Phenom.• Developing the Prompt Engineering Platform - LLMOps. Components - Argilla, Datahub, Langchain, Langflow, Streamlit, Weaviate, GPTCache, Rebuff, Agenta, Pheonix Arize etc.

Education

• Birla Institute of Technology and Science, Pilani

  Bachelor of Engineering (B.E), Electrical and Electronics Engineering

  2012 — 2017

• Birla Institute of Technology and Science, Pilani

  Master of Science (M.Sc), Physics

  2012 — 2017

Skills

• Matlab
• C++
• Microsoft Word
• Microsoft Excel