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Swapnesh Khare

@swapneshkhare

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Experienced Machine Learning Engineer specializing in MLOps and data platforms.

India

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What I'm looking for

I am looking for a challenging role in a dynamic environment that fosters innovation and growth, where I can leverage my skills in machine learning and data engineering to drive impactful solutions.

I am a dedicated Machine Learning Engineer with a strong background in MLOps and platform engineering. Currently, I serve as the Assistant General Manager at CARS24, where I spearheaded the establishment of the ML and Data Platform practice. My team has successfully optimized costs by over 60% while enhancing model deployment and monitoring practices. I take pride in deploying over 45 deep learning models and creating robust data ingestion pipelines that power real-time analytics.

My journey in machine learning began with a focus on document classification at Quantiphi Inc., where I developed a 360-class document classifier that significantly reduced processing costs for clients. I have also contributed to various projects at PolicyBazaar, where I improved customer acquisition strategies through predictive modeling. My technical expertise spans a wide range of programming languages and tools, including Python, SQL, and various cloud platforms.

Experience

Work history, roles, and key accomplishments

Current

Assistant General Manager

Current

CARS24

Jul 2021 - Present (4 years)

Spearheaded the establishment and growth of the ML and Data Platform practice, leading a team of 6 to manage both platforms. Successfully optimized costs by over 60% for existing services while ensuring minimal incremental costs for new integrations and data growth. Migrated over 40 real-time DS workloads to GKE, enhancing scalability, reducing latency, and improving deployment management.

MLOps Data Platform Kubernetes GCP Python Kafka StarRocks Minio Superset Feast

Senior Machine Learning Engineer

Quantiphi Inc.

Dec 2020 - Present (4 years 7 months)

Developed a 360-class document classifier, processing approximately 100,000 financial documents daily, which reduced manual processing costs by 50%. Achieved an overall accuracy of 93% with a throughput of 6.4 requests per second for complex PDF documents. Utilized Python, Flask, and Google Cloud Platform to build and deploy the solution.

Machine Learning Document Classification Python Flask Google Cloud Platform Google Vision Apache JMeter

Machine Learning Engineer

PolicyBazaar.com

Feb 2019 - Present (6 years 5 months)

Developed a classification model to identify cross-sell customers, improving conversion rates by 2x while targeting only 40% of potential customers. Created and deployed a motor insurance premium prediction model as a REST API on AWS, maintaining a loss ratio around 97% for six months. Leveraged Python, Flask, MSSQL, and AWS for these solutions.

Machine Learning Classification Python Flask AWS XGBoost Logistic Regression Neural Networks

NLP Engineer

Tuple Predictive Labs

May 2018 - Present (7 years 2 months)

Analyzed customer information including spending habits, purchase frequency, and device data to segment customers into four distinct categories. Provided actionable insights that enabled the client, an online grocery store, to implement targeted marketing strategies. Utilized Python and K-Means Clustering for this project.

NLP Customer Segmentation Python Google Analytics

Associate Technology L2

Sapient Global Markets

Oct 2016 - Present (8 years 9 months)

Developed an RPA bot for a commodities client to automate invoice processing, achieving near-zero user intervention by extracting entities from various PDF formats. Contributed to the Sapient Intelligent Search Platform (SISP) by developing question classification and ontology formation features. Utilized Python, pdfminer, UIPath, Gensim, and NER for these projects.

NLP Python Pdfminer Gensim NER Question Classification