CV

Resume and experience overview for Bikash Tudu.

Contact Information

Name Bikash Tudu
Professional Title Machine Learning Engineer III
Email [email protected]
Location Bengaluru,

Professional Summary

Machine Learning Engineer with 6+ years of experience building production ML and AI systems, backend APIs, and MLOps platforms across generative AI, forecasting, search and recommendation, and scalable model serving.

Experience

  • 2023 - present

    Bengaluru, India

    Machine Learning Engineer III
    Korn Ferry Digital
    Building production AI systems, backend platforms, and ML deployment workflows.
    • Architected and delivered AI Automapping, a compound AI system combining generative AI and CNN models, improving inference performance by 3x while optimizing memory usage and production stability.
    • Led key parts of the KFOne migration for AI Automapping, including target-state design, OpenShift deployment, secure persistence, environment validation, and downstream integrations.
    • Improved runtime reliability and observability through logging modernization, Datadog and OpenTelemetry instrumentation, timeout and memory tuning, and batch-processing improvements.
    • Built backend systems for the Job Classifier App and AGAA, including APIs, authentication, async and resumable workflows, task tracking, export support, and ML-serving deployment flows.
    • Supported release governance, documentation, QA and staging validation, security remediation, interviews, and code reviews.
  • 2021 - 2023

    Bengaluru, India

    Machine Learning Engineer
    Mate Labs / Crest
    Built ML pipelines and platform services for forecasting and inventory planning use cases.
    • Built custom ML pipelines using Argo Workflows for demand forecasting and inventory planning.
    • Designed dynamic scaling for model training on Kubernetes, reducing training time by more than 60%.
    • Developed backend API services using Django and PostgreSQL to support ML workflows and platform integrations.
    • Implemented resampling, feature engineering, ensemble feature selection, validation-leakage prevention, and model-staleness analysis in production ML pipelines.
  • 2019 - 2021

    Hyderabad, India

    Software Engineer
    MAQ Software
    Worked on forecasting, anomaly detection, and applied ML solutions for business operations.
    • Built demand forecasting models for short-term forecasts in production plants and developed an end-to-end ensemble anomaly detection solution for live operational data.
    • Built ML models with business stakeholders to analyze root causes and predict the impact of different scenarios on backlog volume.
    • Developed classification models to predict customer satisfaction and identify the key drivers affecting CSAT.

Education

  • 2015 - 2019

    Indore, India

    Bachelor of Technology
    Indian Institute of Technology Indore
    Computer Science and Engineering

Skills

Languages (Advanced): Python, SQL, PostgreSQL, MS SQL
ML / AI (Advanced): Generative AI, RAG, LangGraph, CNNs, Demand Forecasting, Time Series Analysis, Feature Engineering, Model Evaluation
Backend / APIs (Advanced): FastAPI, Django, Django REST Framework, WebSockets, Celery, Redis, RabbitMQ
MLOps / Infra (Advanced): Kubernetes, OpenShift, Docker, Argo Workflows, MLflow, Databricks, Elasticsearch, Datadog, OpenTelemetry

Languages

English : Fluent
Hindi : Fluent

Projects

  • Plotly LLM Agent

    Built a LangGraph-based agent integrated with Django REST Framework to interpret user goals and generate customized dashboards and visual widgets after approval.

    • LangGraph agent orchestration
    • Django REST Framework integration
    • Dynamic dashboard generation
  • AsyncMLEngine

    Developed a Django-based web application with Celery, RabbitMQ, Redis, and PostgreSQL for asynchronous processing and real-time user interaction.

    • Asynchronous task orchestration
    • Real-time user interaction
    • Production-ready backend stack