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Manish A Shukla

I am an AI & GenAI Researcher specializing in Explainable AI (XAI), Multi-Agent Systems, and Time-Series Forecasting. My work focuses on bridging theory and practice by building transparent, trustworthy, and impactful AI systems applied to domains such as healthcare, aviation, energy, and retail.

Highlights of my contributions include:

• Advancing Explainable AI methods (LIME, SHAP) for model interpretability and trust

• Designing Agentic AI systems for adaptive multi-agent orchestration and decision-making

• Developing leakage-free forecasting pipelines for critical sectors

• Delivering real-world outcomes such as forecasting for 30M+ patients, and enterprise AI solutions saving $2M–$4.6M annually

I am passionate about making AI socially responsible and aligned with national priorities, while also contributing to the research community through open-source projects, publications, and technical writing.

  • Role

    AI Data Scientist

  • Years of Experience

    9 years

  • Professional Portfolio

    View here

Skillsets

  • PySpark
  • Large language models (palm, bert, etc)
  • Time series forecasting (arima/var)
  • Tableau
  • Statistical and exploratory data analysis
  • SQL
  • Scala
  • SAS
  • R
  • PyTorch
  • Python
  • Adobe Analytics
  • PowerBI
  • NoSQL
  • Machine learning (supervised/unsupervised)
  • Google Analytics
  • Github/git
  • Generative AI
  • Business Intelligence
  • anomaly detection
  • Airflow

Professional Summary

9Years
  • Jan, 2024 - Present2 yr 2 months

    Lead Gen AI Data Scientist

    SAVVYAN TECHNOLOGIES, VERIZON
  • Jan, 2022 - Nov, 20231 yr 10 months

    Senior Data Scientist

    DELOITTE
  • Oct, 2020 - Jan, 20221 yr 3 months

    Data Scientist & Technical Advisor

    PALLADIUM
  • Jun, 2015 - Jun, 20183 yr

    Data Science and Analyst

    L&T Infotech
  • Aug, 2019 - Nov, 2019 3 months

    Data Science Intern

    TRUEVIM
  • Dec, 2019 - May, 2020 5 months

    Data Scientist

    TECHSTAR, VERIZON

Work History

9Years

Lead Gen AI Data Scientist

SAVVYAN TECHNOLOGIES, VERIZON
Jan, 2024 - Present2 yr 2 months
    Developed a LLM system using PALM and tree-based prompt algorithm to classify 75k+ document in clauses category, saving $2M yearly and 4 FTEs. Built a proof of concept using Multi-agent LangGraph framework for customer connectivity service analysis, potentially saving $4.6M annually. Created a framework for synthetic data generation with LLMs. Led a team of more than 5 data scientists and analysts.

Senior Data Scientist

DELOITTE
Jan, 2022 - Nov, 20231 yr 10 months
    Developed End-to-End Time Series system to forecast User KPI metrics for Wallet payment. Built anomaly detection system for User KPI metrics, reducing 80+ manual hours monthly. Led teams to automate ML Ops process from data collection to deployment using Cloud platforms and Hadoop jobs with Scala-Spark. Designed POC for text summarization and sentiment analysis using Generative AI and PaLM LLM. Implemented chatbot for retail client using NLP/NLU and LLM models.

Data Scientist & Technical Advisor

PALLADIUM
Oct, 2020 - Jan, 20221 yr 3 months
    Developed Time Series model to forecast HIV & AIDS cases in African countries. Performed Media Analytics for USAID training effectiveness. Led team of 10+ Data Scientists and Analysts.

Data Scientist

TECHSTAR, VERIZON
Dec, 2019 - May, 2020 5 months
    Built AI/ML model to predict server patching for 5G up-gradation, benefiting $1.7 million. Interpreted features from 200+ features for 28 million services to provide actionable insights.

Data Science Intern

TRUEVIM
Aug, 2019 - Nov, 2019 3 months
    Developed Time series ARIMAX and VAR model to forecast house prices using exogenous variables. Built regression models using Random Forest and Neural Networks for 5+ million data, deployed with Flask as API.

Data Science and Analyst

L&T Infotech
Jun, 2015 - Jun, 20183 yr
    Added 450+ functionalities and 100 suggestions, saving $12 million and improving system stability by 60%. Built classification model to anticipate car model buy probability, resulting in 16% profit. Implemented Logistic Regression to analyze repeat vehicle purchases, improving sales by 9%.

Education

  • M.S., Business Analytics (Data Science)

    The University of Texas at Dallas (2020)

  • B.E., Electronics & Telecommunication Engineering

    University of Mumbai (2015)