Hi, I'm

Kapish Luhariwala

I am a |

Harnessing the power of data and AI to solve complex problems. Delivering smart, scalable machine learning solutions that drive real impact

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Kapish Luhariwala

About Me

I'm an AI Scientist and Data Scientist with 3 years of experience turning complex data into actionable business intelligence. I am a data scientist with a passion for storytelling. I believe that words and data are the two most powerful tools to change the world. Currently an Engineer II at Verizon, I've contributed to significant revenue growth, operational savings, and customer retention through innovative AI-powered solutions.

What I Do

My passion lies at the intersection of artificial intelligence, machine learning, and real-world problem solving. I specialize in designing and deploying scalable AI systems that don't just sit in notebooks—they transform how businesses operate. From building generative AI chatbots that reduce customer churn to developing deep learning recommendation systems that boost customer retention, I create solutions that matter.

Beyond the Codes

When I'm not architecting AI solutions or diving deep into neural networks, you'll find me exploring the latest in Agentic AI with LangChain or contributing to the AI community through knowledge sharing. I believe in the power of continuous learning—recently completing certifications from Google Cloud and NVIDIA in machine learning and generative AI.

My approach is simple: every line of code should solve a real problem. Whether it's optimizing call routing to improve efficiency or building interactive analytics platforms for anomaly detection, I focus on creating AI that enhances human decision-making rather than replacing it.

What Drives Me

I'm energized by challenges that seem impossible at first glance. There's something magical about taking messy, unstructured data and transforming it into intelligent systems that can predict customer behavior, automate complex processes, or uncover hidden patterns that drive strategic decisions.

Experience

Verizon

Engineer II - Data Scientist

July 2022 - Present

  • Drove $13M in revenue by delivering AI-powered forecasting solutions that enhanced capacity planning and resource distribution across customer support operations
  • Achieved $4M in operational savings by implementing generative AI systems that streamlined agent guidance and reduced repeat customer interactions
  • Supported enterprise-wide automation strategies that contributed to $50M in revenue through intelligent call intent prediction and IVR optimization
  • Increased customer retention by 13% among high-risk customers through a deep learning–based recommendation system that enabled targeted marketing interventions
  • Engineered and implemented scalable data intelligence frameworks to optimize system performance, enhancing strategic decision intelligence and achieving $3M in cost savings

Adobe

Technical Consultant Intern

May 2021 - July 2021

  • Developed Python-based GUI applications for SaaS automation, significantly reducing manual labor and improving operational efficiency for client operations
  • Built Automation of Recommendation Migration system with bi-directional API integration, enabling automated product data extraction, Excel-based management, and seamless upload back to client websites
  • Created Automation of Traffic Generation application supporting batch URL processing and controlled traffic simulation for A/B testing and multivariate testing, accelerating statistical data collection
  • Implemented multi-client project management system with REST API authentication, eliminating human errors and reducing manual processing time

Featured Projects

Predictive Model

Call Capacity Forecasting System

Developed a call capacity forecasting model leveraging ARIMA and stacked models, achieving 89% forecasting accuracy. Optimized call routing and enhanced load balancing, reducing response time and improving efficiency by 14%.

ARIMA Stacked Models Python Machine Learning
Generative Model

AI-Powered Agent Guidance Chatbot

Developed a chatbot-based agent guidance system using Retrieval-Augmented Generation (RAG), enhancing customer support, reducing repeat calls by 11%, and lowering churn by 5%.

RAG NLP Generative AI LangChain
Intent Prediction Model

Customer Call Intent Classification

Fine-tuned the DistilBERT model to predict customer call intent from transcripts, achieving 70% accuracy. Enhanced Interactive Voice Response (IVR)-driven customer interactions, improving customer experience and reducing resolution time by 30%.

DistilBERT NLP Transformers Classification
Recommendation Model

Deep Learning Recommendation System

Developed a deep learning–based recommendation system to suggest optimal plan offers to high-risk churn customers, enabling marketing and customer success teams to drive targeted retention strategies.

Deep Learning Recommendation Systems NLP Customer Analytics

Technical Skills

Programming

Python SQL C++ Data Structures & Algorithms

ML/AI

Machine Learning Deep Learning Natural Language Processing TensorFlow PyTorch Lightning Hugging Face

Generative AI

LangChain LangGraph LangSmith Retrieval-Augmented Generation Model Context Protocol

Data Processing

PySpark Pandas NumPy Statistics

Tools & Cloud

Docker GitLab GCP Matplotlib Seaborn Plotly Looker

Certifications

GCP

Professional Machine Learning Engineer

Google Cloud

Valid till June 23, 2026

NVIDIA

NVIDIA-Certified Associate: Generative AI LLMs

NVIDIA

Valid till Nov 10, 2026

Education

Bachelor of Technology

Electrical Engineering

National Institute of Technology, Durgapur

2018 - 2022 CGPA: 8.06/10.0

Achievements

🏆 1st Place

Generative AI Hackathon Winner

Won 1st place by optimizing Scaled Agile Framework (SAFe) Agile workflows using AI-driven automation. Led the design of structured problem statements, developed prompt templates, and designed the architecture to streamline Agile processes.

⭐ Award

Spotlight Award

Recognized for accountability and exceptional innovation that significantly improved workflow efficiency.

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Location

Hyderabad, Telangana