Dipanjan Mandal

CEO

India2 yrs 5 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in building scalable MLOps platforms.
  • Proven track record in real-time simulation systems.
  • Strong leadership in mentoring engineering teams.
Stackforce AI infers this person is a Backend-focused engineer with expertise in MLOps and real-time data processing.

Contact

Skills

Core Skills

MlopsCloud DeploymentReal-time SimulationScalable Decision-makingLinux NetworkingDriver DevelopmentData ProcessingSoftware Engineering

Other Skills

API TestingAWS SageMakerAirflowAlgorithm OptimizationAlgorithmsAnalytical SkillsArtificial Intelligence (AI)Asynchronous ProgrammingAutoKerasAutoMLAutomated Machine Learning (AutoML)Automated MonitoringAutomated TestingC (Programming Language)C++

Experience

2 yrs 5 mos
Total Experience
2 yrs 5 mos
Average Tenure
2 yrs 5 mos
Current Experience

3 roles

Platform Specialist

Jan 2025Present · 1 yr 5 mos

  • Built an end-to-end MLOps platform enabling data ingestion, AutoML training, versioning, and cloud deployment using TensorFlow, AutoKeras, MLflow, FastAPI, Docker, Kubernetes, Jenkins, AWS SageMaker, GCP Vertex AI, Prometheus, and Grafana.
MLOpsData IngestionAutoMLCloud DeploymentTensorFlowAutoKeras+9

Platform Specialist

Jan 2024Present · 2 yrs 5 mos

  • Solves real-time, high-throughput RL simulation serving for scalable decision-making systems.
Real-time SimulationHigh-throughput RL SimulationScalable Decision-making SystemsScalable Decision-making

Driver

Jan 2024Jan 2025 · 1 yr

  • Implemented and validated RDMA (RoCEv2) network driver functions within the Linux networking stack. Automated driver validation through CI/CD, reducing test time by 60% and deployment errors by 40%.
RDMARoCEv2Linux Networking StackCI/CDDriver ValidationLinux Networking+1

Self-directed

Software Engineering Specialist

Jan 2024Present · 2 yrs 5 mos

  • Built data processing pipelines with Kafka and Airflow for real-time analysis and automated monitoring. Contributed to open-source projects optimizing CI/CD and distributed data systems. 3+ years of professional Python development with strong FastAPI expertise, delivering scalable, high-performance backend and API systems. Expert in RESTful API design, asynchronous programming, automated testing, CI/CD pipelines, and modern software engineering best practices. 4+ years of leadership experience mentoring and managing engineering teams (5+ developers), ensuring clean architecture, high-quality code, and timely delivery.
Data Processing PipelinesKafkaAirflowReal-time AnalysisAutomated MonitoringOpen-source Projects+12

Education

NIT -Rourklea

Jan 2021Dec 2025

National Institute of Technology

Bachelor of Technology — Chemical Engineering

Stackforce found 100+ more professionals with Mlops & Cloud Deployment

Explore similar profiles based on matching skills and experience