Palash Raj
AI Engineer (Machine Learning Engineer + MLOps engineer) with 10 years of experience in architecting robust and scalable AI platforms, converting data science research projects into production-grade solutions and developing machine learning models. Skilled in orchestration, containerization, CI/CD pipeline implementation and distributed systems for streamlined workflows. Adept at designing and implementing scalable ML system architectures, including data pipelines, model training and auto re-training pipelines, DevOps infrastructure, model serving APIs and databases for seamless data management and model lifecycle management, incorporating observability through comprehensive logging and monitoring.
- Role
Staff ML Engineer
- Years of Experience
10.83 years
Skillsets
- Kubernetes
- PyTorch
- Redshift
- TensorFlow
- Python
- SQL
- Kubernetes
- Kubernetes
- Python
- SQL
- Prometheus
- Kubernetes
- CI/CD
- Containerization
- Distributed Systems
- Feature Engineering
- Model deployment
- MongoDB
- Optimization Algorithms
- ELK Stack
- Python - 9 Years
- SQL - 7 Years
- SQL - 7 Years
- Airflow
- Bash
- BigQuery
- Dask
- Docker
- Python - 9 Years
- FastAPI
- Flask
- Kafka
- Kubeflow - 8 Years
- Kubernetes
- Kubernetes
- MLFlow - 8 Years
- MySQL
Professional Summary
10.83Years
- Feb, 2026 - Present 3 months
Engineering Manager - AI and Data
Balancehero India - Feb, 2024 - Jan, 20261 yr 11 months
Senior MLOps Engineer
Kochava - Mar, 2022 - Feb, 20241 yr 11 months
Senior Data Scientist
tiket.com - Jan, 2017 - Dec, 20181 yr 11 months
Data Science Consultant
KPMG - Aug, 2019 - Mar, 2020 7 months
Data Science Engineer
OYO - Mar, 2020 - Mar, 20222 yr
Senior Data Scientist
Kargo Technologies - Jul, 2016 - Dec, 2016 5 months
Research Assistant
Centre for Social and Economic Progress - Jul, 2012 - Jun, 20141 yr 11 months
Assistant Manager
Haldia Petrochemicals Ltd.
Applications & Tools Known
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Kubeflow
MLflow
Airflow
Dask
Kubernetes
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Docker
BigQuery
Redshift
MySQL
MongoDB
Metabase
Kafka
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Flask
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FastAPI
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ELK Stack
Prometheus
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Grafana
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Jenkins
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Flux
Work History
10.83Years
Engineering Manager - AI and Data
Balancehero IndiaFeb, 2026 - Present 3 months
Senior MLOps Engineer
KochavaFeb, 2024 - Jan, 20261 yr 11 months
Leading a highly efficient team of ML engineers and DevOps engineers. Developed scalable model auto-retraining platforms and real-time job scheduling systems, integrated monitoring tools, collaborated on Kubernetes upgrades, and set up Kubeflow and MLflow environments.
Senior Data Scientist
tiket.comMar, 2022 - Feb, 20241 yr 11 months
Architected scalable microservices-based search ranking systems, developed dynamic pricing platforms, deployed object detection modules, optimized model training pipelines, improved NER model performance, and received awards for best performance and project delivery.
Senior Data Scientist
Kargo TechnologiesMar, 2020 - Mar, 20222 yr
Led data science initiatives, developed pricing engines, automated dispatch logic, created heatmap dashboards, and built routing and load planning tools.
Data Science Engineer
OYOAug, 2019 - Mar, 2020 7 months
Developed dynamic pricing algorithms, optimal marketing budget allocation tools, ranking algorithms, and forecasting models for monthly sales.
Data Science Consultant
KPMGJan, 2017 - Dec, 20181 yr 11 months
Worked on power, oil, and gas markets; developed dynamic pricing algorithms, mixed integer optimization models, and benchmarking tools using DEA techniques.
Research Assistant
Centre for Social and Economic ProgressJul, 2016 - Dec, 2016 5 months
Performed quantitative studies on labor policies using statistical tools like STATA and analyzed data from NSSO surveys using difference-in-differences methods.
Assistant Manager
Haldia Petrochemicals Ltd.Jul, 2012 - Jun, 20141 yr 11 months
Utilized historical data and statistical models to forecast polymer demand, aiding pricing and sales teams with valuable insights.
Achievements
- Best Performer Award and Best Project Award in Data Science team at tiket.com for the year 2022
- Rising Star Award at KPMG
- All India Rank 1530 in IIT-JEE 2008
- State rank 14th in Regional Mathematical Olympiad 2005
Major Projects
5Projects
Scalable Model Auto-Retraining Platform
Architected and developed a scalable platform for Media Mix Models, leveraging Dask, Kubernetes namespaces and monitoring tools like Kibana and Grafana.
Real-Time Job Scheduling Platform
Developed a high-performance platform featuring Kubernetes Operator and Python APIs for automated job lifecycle management.
Search Ranking and Recommendation System
Implemented a session-based ranking system using user and hotel interaction features, deploying microservices-based architecture.
Dynamic Pricing Platform
Built and maintained a platform for hotel vertical pricing using demand forecasting models on GCP with Kubeflow pipelines.
Object Detection Module
Developed YOLO-based detection module for room inventory images, improving website and app functionality.
Education
Master of Science in Quantitative Economics
Indian Statistical Institute, Delhi Centre (2016)B. Tech. (Honours) in Instrumentation Engineering
Indian Institute of Technology Kharagpur (2012)