---
title: "Nikhilesh Sarangpure - Engineer (V&V Engineer) in Nagpur | Tal"
description: "Meet Nikhilesh Sarangpure, Engineer @LTTS | Ex-ML Intern @Whizoid Studio based in Nagpur. AI stack includes gemini, hugging face, and langchain. Explore public work links including github."
image: "https://tal.club/meet/nikhilesh-sarangpure/share-image"
---

# Nikhilesh Sarangpure on Tal

## Headline

Engineer @LTTS \| Ex\-ML Intern @Whizoid Studio

## About

Aspiring data scientist with a strong academic background in statistics, mathematics, and computer science\. Experienced in using machine learning algorithms to solve real\-world problems and proficient in programming languages such as Python, R, and SQL\. Completed several projects including a predictive analysis of sales and a classification\. A quick learner and team player with excellent communication and problem\-solving skills\.

## Location

Nagpur

## AI stack

gemini

hugging face

langchain

openai

## Work experience

Engineer \(V&V Engineer\) at L&T Technology Services, Mar 2026 \- Present · 3 mos, Mumbai

Associate Engineer\(V&V Engineer\) at L&T Technology Services, Dec 2024 \- Mar 2026 · 1 yr 4 mos, • Performed data\-driven quality analysis for BMW In\-Vehicle Infotainment \(IVI\) systems by processing and analyzing 100K\+ log records per test cycle\. • Identified defect patterns and performance bottlenecks through structured log parsing, trace analysis, and anomaly detection, supporting faster issue resolution\. • Reduced defect triage and RCA turnaround time by \~20% by developing reusable filters and scripts for log cleaning and analysis\. • Collaborated with QA and development teams to execute root cause analysis \(RCA\) across multiple release cycles, improving defect classification accuracy\. • Tracked and reported quality KPIs \(defect density, failure frequency, regression trends\) to support release readiness and engineering decisions\.

Technical Program Community Reviewer at University of Bahrain, Apr 2023 \- Jun 2024 · 1 yr 3 mos, Remote, International Journal of Computing and Digital Systems

Student Ambassador at Intel Corporation, Oct 2022 \- Jun 2024 · 1 yr 9 mos

ML Intern at Whizoid Studio, May 2023 \- Nov 2023 · 7 mos, Indore, Madhya Pradesh, India, • Worked on Data Annotation using Label Studio\. • Deployed and implement the CNN model for the Annoted Data

Machine Learning Intern at Whizoid Studio, May 2023 \- Nov 2023 · 7 mos, • Built a House Price Prediction model using Python, Pandas, NumPy, and Scikit\-learn, applying feature engineering and model evaluation techniques\. • Annotated 1,000\+ real\-world newspaper images using Label Studio to create high\-quality labeled datasets for supervised learning\. • Extracted structured and unstructured data from 30\+ websites \(YouTube, Twitter, Walmart, TikTok\) using BeautifulSoup and Selenium\. • Enabled downstream analytics and NLP experimentation by designing clean, analysis\-ready datasets from raw scraped sources\.

Research Intern at GHRCE CoE AI & ML, Nov 2021 \- Jul 2022 · 9 mos, Nagpur, Maharashtra, India

## Education

Bachelor's degree, Data Science, G\.H\. Raisoni College of Engineering\(GHRCE\), Nagpur

## Public links

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

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

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