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Abinash Panda

Experienced Machine Learning Lead Engineer with expertise in developing advanced analytics products, scalable AI/ML solutions, and multi-agent systems leveraging LLMs. Proficient in Python, system design, and optimizing SaaS platform performance to enhance efficiency and reduce latency. Led the development of an ML SaaS platform that increased revenue by 25% and cut time-to-insights by 40%. Reduced processing latency by over 60% through system optimizations, earning a promotion to a lead role for driving measurable improvements in system performance and team outcomes.
  • Role

    ML Engineer

  • Years of Experience

    9 years

Skillsets

  • Real-time Data Processing
  • Machine Learning
  • Google Cloud
  • Generative AI
  • LLMs
  • Computer Vision
  • NLP
  • R
  • Data Mining
  • SQL
  • Python
  • Java
  • TensorFlow
  • Scikit-learn
  • Data Analysis
  • pandas
  • NumPy
  • Google Cloud Platform
  • Docker
  • Distributed Systems
  • Machine Learning
  • SQL
  • Machine Learning
  • SQL
  • System Design
  • Optimization
  • Natural Language Processing

Professional Summary

9Years
  • Jan, 2020 - Present5 yr 8 months

    Machine Learning Engineer

    Analytic Edge
  • Jan, 2015 - Jan, 20205 yr

    MTS

    Envestnet | Yodlee India

Applications & Tools Known

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    Scikit-Learn

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    Pandas

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    NumPy

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    SQL

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    Google Cloud Platform

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    Docker

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    FastAPI

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    Celery

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    Dask

Work History

9Years

Machine Learning Engineer

Analytic Edge
Jan, 2020 - Present5 yr 8 months
    Architected and deployed an advanced machine learning platform, developed a GraphQL microservices framework, enhanced algorithms for critical workflows, and led team collaborations to deliver significant outcomes.

MTS

Envestnet | Yodlee India
Jan, 2015 - Jan, 20205 yr
    Collaborated on an Auto-Healing system, designed algorithms for financial documents, and improved text classification model accuracy for enhanced decision-making.

Achievements

  • Increased revenue by 25%
  • Reduced time-to-insights by 40%
  • Reduced processing latency by over 60%
  • Enhanced text classification model accuracy by 10%
  • Reduced manual review efforts by over 75%
  • Reduced manual intervention time from a full day to just 5-6 minutes

Education

  • Post Graduate Diploma, Data Science

    International Institute of Information Technology Bangalore (2018)

  • Engineer's Degree, Computer Science and Engineering

    Indian Institute of Information Technology, Design and Manufacturing, Jabalpur (2015)