Available to hire
I am a Machine Learning Engineer with over 6 years of experience creating robust and scalable machine learning pipelines and deep learning solutions across diverse industries. I specialize in designing end-to-end data workflows, large language model training and fine-tuning using TensorFlow, PyTorch, and Hugging Face, and optimizing pipelines on cloud platforms such as AWS and Snowflake. I excel at translating complex business challenges into impactful, production-ready AI systems.
Throughout my career, I have developed expertise in MLOps, natural language processing, big data tools, and cloud-native infrastructure, consistently improving model accuracy, reducing latency, and automating deployment workflows. I am passionate about leveraging cutting-edge AI technologies and data engineering best practices to build scalable, efficient, and secure AI-driven applications that deliver measurable business value.
Skills
Work Experience
Machine Learning Engineer at eBay
May 1, 2024 - PresentEngineered scalable ML pipelines using PySpark and Airflow, improving product recommendation accuracy by 22%. Deployed PyTorch models with TorchServe, doubling API response speed and reducing cloud costs by 18%. Enhanced ETL and training data readiness by 3x using Pandas and Spark. Integrated spaCy NLP components to improve user insights by 60%. Reduced inference latency by 35% through containerized deployments on Kubernetes-managed GPU clusters. Accelerated training speed by 40% using PyTorch Lightning with mixed precision. Built real-time monitoring systems with Kafka and Spark Streaming, increasing anomaly detection coverage by 60%. Improved search relevancy by integrating FAISS vector search. Automated retraining workflows with MLflow and SageMaker, cutting downtime by 70%. Developed a RAG-based low-latency recommendation system, increasing upsell conversions by 15%. Modernized deployment pipelines, reducing infrastructure costs by 25%. Migrated analytics to AWS EKS and Terraform,
Machine Learning Engineer at TCS | Client: Evernorth
May 1, 2022 - August 27, 2025Built scalable XGBoost-based fraud detection models identifying $3M in suspicious claims. Developed an LLM-powered Q&A system using LangChain and HuggingFace, boosting internal query resolution speed by 50%. Created real-time anomaly detection pipelines to mitigate $1M annual losses. Improved churn prediction accuracy by 22% with Random Forest and XGBoost ensembles. Automated training workflows via Airflow and MLflow, reducing workload by 40%. Enhanced ICD-10 coding accuracy by 27% with BERT-based NLP pipelines. Reduced HEDIS penalties by 19% using LightGBM on longitudinal patient data. Processed 10 TB weekly with Apache Spark and Synapse. Automated HIPAA-compliant model deployment with SageMaker. Boosted chronic disease detection by 21% using LSTM models. Enabled 100% SLA compliance by monitoring ML drift with Prometheus and Grafana. Facilitated synthetic patient data generation for robust experiments. Re-architected pipelines with Kubeflow and GitLab CI/CD, halving deployment time.
Machine Learning Engineer at TCS | Client: JP Morgan Chase
May 1, 2020 - August 27, 2025Improved loan approval accuracy by 28% with Random Forest credit risk models. Reduced fraud detection latency from 2.3s to 0.8s by deploying quantized models on SageMaker. Accelerated foundation model training by 30% using PyTorch DDP and DeepSpeed. Strengthened trade surveillance with Kafka and PySpark streaming pipelines improving anomaly detection by 40%. Enhanced customer sentiment classification by 32% via spaCy and Transformer NLP models. Automated data pipelines using Snowflake, dbt, and Power BI, cutting reporting delays by 70%. Developed secure LLM-powered portfolio assistants with GPT-NeoX and Triton Inference Server. Improved audit compliance integrating Great Expectations in Airflow. Reduced analyst triaging time by 35% using RAG-based transaction summarizers. Built real-time loan default predictors mitigating $4.1M in risk. Increased model release frequency 4x with CI/CD pipelines using Jenkins and Terraform.
Machine Learning Engineer at eBay
May 1, 2024 - PresentAt eBay, I engineered scalable ML pipelines using PySpark and Airflow for real-time clickstream data processing, improving product recommendation accuracy by 22%. I optimized PyTorch model serving with TorchServe, doubling API response speed and reducing cloud resource costs by 18%. I enhanced ETL processes and accelerated training cycles using Pandas and Spark. Integrated NLP capabilities leveraging spaCy for named entity recognition and topic modeling, boosting user insight extraction by 60%. Containerized models via Docker and Kubernetes to reduce inference latency by 35%. Implemented mixed precision training with PyTorch Lightning, speeding up training by 40% and improving accuracy. Built real-time monitoring and anomaly detection systems using Kafka and Spark Streaming, increasing detection coverage by 60%. Integrated FAISS vector search for improved product metadata lookup, raising search relevancy by 18%. Automated model retraining workflows with MLflow and SageMaker, cutting ma
Machine Learning Engineer at TCS | Client: Evernorth
May 1, 2022 - August 27, 2025At Evernorth, I built an XGBoost fraud detection model identifying $3M in suspicious claims, enhancing financial risk management. Developed an LLM-powered Q&A system boosting query resolution by 50% using LangChain and Hugging Face. Created AI fraud detection pipelines using Isolation Forest and Autoencoder reducing annual financial loss by $1M. Improved customer churn prediction accuracy by 22% with SHAP features and ensemble models. Automated training workflows with Airflow and MLflow, reducing manual work by 40%. Used BERT for NLP pipelines that enhanced ICD-10 coding accuracy by 27%. Decreased HEDIS penalties by 19% employing LightGBM on longitudinal patient data. Processed 10TB patient data weekly with Apache Spark and Synapse. Automated HIPAA-compliant deployments with AWS SageMaker, reducing overhead by 60%. Improved early chronic disease detection by 21% via LSTM models. Implemented observability with Prometheus and Grafana to guarantee 100% SLA compliance. Designed synthetic d
Machine Learning Engineer at TCS | Client: JP Morgan Chase
May 1, 2020 - August 27, 2025Developed Random Forest credit risk scoring model improving loan approval accuracy by 28%. Reduced fraud detection latency from 2.3s to 0.8s via model quantization and SageMaker endpoints. Accelerated foundation model training by 30% using PyTorch DDP and DeepSpeed distributed training on SageMaker. Engineered Kafka and PySpark streaming pipelines enhancing real-time anomaly detection by 40%. Built NLP sentiment classifier using spaCy and Transformers improving accuracy by 32%. Automated data pipelines with Snowflake, dbt, and Power BI to cut reporting delays by 70%. Designed secure LLM-powered assistant with GPT-NeoX and Triton Server for portfolio insights. Improved audit compliance integrating Great Expectations for data lineage. Developed Retrieval-Augmented Generation financial summarizer decreasing triage time by 35%. Built real-time loan default predictor with TabNet reducing default risk by $4.1M. Orchestrated CI/CD with Jenkins and Terraform increasing model release frequency
Education
Master of Science, Data Analytics at Webster University
January 11, 2030 - May 1, 2025Bachelor of Technology, Mechanical Engineering at VNR VJIET
January 11, 2030 - May 1, 2018Master of Science at Webster University
January 1, 2023 - May 1, 2025Bachelor of Technology at VNR VJIET
January 1, 2014 - May 1, 2018Qualifications
AWS Certified Machine Learning - Specialty
January 11, 2030 - August 27, 2025Google Professional Machine Learning Engineer
January 11, 2030 - August 27, 2025Microsoft Certified: Azure AI Engineer Associate
January 11, 2030 - August 27, 2025AWS Certified Machine Learning - Specialty
January 11, 2030 - August 27, 2025Google Professional Machine Learning Engineer
January 11, 2030 - August 27, 2025Microsoft Certified: Azure AI Engineer Associate
January 11, 2030 - August 27, 2025Industry Experience
Financial Services, Healthcare, Software & Internet, Retail, Professional Services
Skills
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