---
title: "Pratik Kambale - AI/LLM Analyst in Velhe | Tal"
description: "Meet Pratik Kambale, AI/LLM Analyst at @Innodata | Ex - DIAT-DRDO INTERN |B.E. - AI&ML | ASPIRING DATA ANALYST based in Velhe. Explore public work links including github."
image: "https://tal.club/meet/pratik-kambale/share-image"
---

# Pratik Kambale on Tal

## Headline

AI/LLM Analyst at @Innodata \| Ex \- DIAT\-DRDO INTERN \|B\.E\. \- AI&ML \| ASPIRING DATA ANALYST

## About

🚀 Turning data into decisions and AI into impact\. I’m a Data Analytics and AI professional with a B\.E\. in Artificial Intelligence & Machine Learning, passionate about solving real\-world business problems using data, machine learning, and intelligent systems\. Currently, I work as an AI/LLM Analyst at Innodata, where I evaluate and refine large language model outputs, improve model reliability, and conduct structured testing to enhance accuracy and safety\. My work focuses on aligning AI systems with real user intent and practical use cases\. Previously, during my research internship at DIAT\-DRDO, I developed CNN\-based image dehazing models, processed large\-scale image datasets, and translated complex deep learning algorithms into high\-fidelity, real\-world solutions\. 📊 Core Skills: • Data Analysis: SQL, Python, Pandas, EDA, Visualization • BI & Reporting: Power BI, Tableau, Excel • AI/ML: Machine Learning, Computer Vision, CNNs, LLM Evaluation • Strong problem\-solving, communication, and teamwork abilities 📌 Projects include • SQL\-based business data analysis, • Loan approval analytics with dashboards, • Real\-time computer vision systems\. I enjoy working at the intersection of data, AI, and business impact — building solutions that are intelligent, scalable, and genuinely useful\. 📬 Open to opportunities in Data Analytics, AI/ML, and intelligent automation roles where I can contribute, learn, and grow every day\.

## Location

Velhe

## Work experience

AI/LLM Analyst at Innodata Inc\., Dec 2025 \- Present · 6 mos, Noida, • Worked at the forefront of cutting\-edge AI and Large Language Models \(LLMs\) to evaluate, analyze, and enhance model performance, safety, and response quality across multimodal systems\. • Contributed to a high\-volume multimodal LLM training and evaluation program during a critical production release for a major enterprise client, ensuring launch readiness and quality benchmarks\. • Led the Quality & SLA Command Center, monitoring real\-time delivery and performance for 1,000\+ annotators and QA specialists across global teams using SQL\-driven insights\. • Designed Power BI performance dashboards to track Throughput vs\. Accuracy, enabling data\-backed interventions that reduced Voice/Text task error rates by 10%\+\. • Leveraged Python\-based text processing and data pipelines to clean, cluster, and analyze unstructured QA feedback, delivering daily root\-cause intelligence reports to leadership\. • Implemented data\-driven quality frameworks and continuous improvement loops to strengthen model reliability, safety compliance, and SLA adherence at scale\.

Research Intern at Defense Institute of Advanced Technology \(DIAT\), DU, DRDO, Feb 2024 \- Jul 2024 · 6 mos, Pune, Maharashtra, India, • Worked on Image Dehazing using CNN\-based deep learning models\. • Gained hands\-on experience in ML experimentation, tuning, and research workflows\. • Applied ML algorithms to enhance standalone products and improve existing solutions\.

Machine Learning Intern at Bharat Intern, Nov 2023 \- Dec 2023 · 2 mos, Pune, Maharashtra, India

Intern at TEACHNOOK \(TEACHSCAPE ONLINE LEARNING SERVICES PRIVATE LIMITED\), Sep 2023 \- Oct 2023 · 2 mos, Pune, Maharashtra, India

## Education

Bachelor of Engineering \- BE, Artificial Intelligence and Machine Learning, Savitribai Phule Pune University

## Public links

- github: https://github\.com/pratikk1728

[View the original profile](https://tal.club/meet/pratik-kambale)

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