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Nikhilesh Sarangpure

Engineer @LTTS | Ex-ML Intern @Whizoid Studio

Nagpur

4+ years of work experience

L&T Technology Services
Mar 20263 mosPresent

Mumbai

L&T Technology Services
Dec 20241 yr 4 mosMar 2026

• 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.
University of Bahrain
Apr 20231 yr 3 mosJun 2024

Remote

International Journal of Computing and Digital Systems
Intel Corporation
Oct 20221 yr 9 mosJun 2024

Whizoid Studio
May 20237 mosNov 2023

Indore, Madhya Pradesh, India

• Worked on Data Annotation using Label Studio. • Deployed and implement the CNN model for the Annoted Data
Whizoid Studio
May 20237 mosNov 2023

• 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.
GHRCE CoE AI & ML
Nov 20219 mosJul 2022

Nagpur, Maharashtra, India

GitHub
@NikhileshSarangpure

Nikhilesh’s AI Stack

gemini
gemini
hugging face
hugging face
langchain
langchain
openai
openai

Education

G.H. Raisoni College of Engineering(GHRCE), Nagpur

Bachelor's degree, Data Science

G.H. Raisoni College of Engineering(GHRCE), Nagpur

20204 yrs2024

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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