Nisarg Bhavsar

AI Researcher

Ahmedabad, Gujarat, India4 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Machine learning enthusiast with diverse project experience.
Mentored students in machine learning at IIT Kharagpur.
Conducted research using NLP techniques at IIMA.

Stackforce AI infers this person is a Machine Learning and Data Science professional with a focus on AI applications.

Contact

Skills

Core Skills

Large Language Models (llm)Python (programming Language)Artificial Intelligence (ai)Natural Language Processing (nlp)Machine LearningDeep LearningOptical Character Recognition (ocr)Computer Vision

Other Skills

GitHubLiterature ReviewsResearch SkillsKerasPyTorchJavaTensorFlowPresentation SkillsObject-Oriented Programming (OOP)GitFlaskDjangoImage ProcessingPublic SpeakingLangChain

About

Hey there, I'm Nisarg - a machine-learning enthusiast passionate about solving complex problems through data-driven approaches. Currently pursuing my B.Tech from IIT Kharagpur, I've gained experience developing and hosting AI models, conducting research and mentoring aspiring data scientists. When I'm not tinkering with code, you can find me lost in thought while writing poetry.

Experience

4 yrs 2 mos

Total Experience

1 yr 7 mos

Average Tenure

3 yrs 9 mos

Current Experience

Stimuler

AI Intern

Feb 2026 – Present · 3 mos

Nobroker.com

Data Science Intern

May 2025 – Jul 2025 · 2 mos · Bengaluru, Karnataka, India · On-site

Convozen.ai

Research Intern

May 2025 – Jul 2025 · 2 mos · Bengaluru, Karnataka, India

Swiggy

Data Science Intern

Jul 2024 – Dec 2024 · 5 mos

Mercor

Data Engineer

Jul 2024 – Aug 2024 · 1 mo

Kharagpur data analytics group

4 roles

Advisor

Jun 2024 – Present · 1 yr 11 mos

Executive Head

Promoted

Jul 2023 – Jun 2024 · 11 mos

Student Member

Aug 2022 – Jul 2023 · 11 mos

Associate Member

Mar 2022 – Aug 2022 · 5 mos

Devrev

LLM Researcher

Jan 2024 – Mar 2024 · 2 mos · Remote

Indian institute of management ahmedabad

Research Intern

Jun 2023 – Jan 2024 · 7 mos · Ahmedabad, Gujarat, India · On-site

Conducted extensive research and analysis on companies across various industries, utilizing natural language processing (NLP) techniques to evaluate financial risks faced by each company.
Developed and implemented cutting-edge NLP algorithms and models to extract critical information from large volumes of textual data, including annual reports, financial statements, and industry news.
Utilized the McDonald and Loughran analysis framework to enhance the accuracy and effectiveness of financial rating models, incorporating relevant risk factors into mathematical models.

Large Language Models (LLM)GitHubLiterature ReviewsResearch SkillsPython (Programming Language)

Indian institute of technology, bombay

Artificial Intelligence Intern

May 2023 – Jul 2023 · 2 mos · Remote

Developed an OCR model for Indian preserved texts, targeting Sanskrit, with maximum level accuracy
and line-wise bounding boxes for each line of text.
Worked on spelling correction and formatting of the text detected by the OCR models, outperforming
state-of-the-art results in error detection and correction for six Indic languages.
Created and deployed containers in Docker for efficient application deployment and scaling.

PyTorchArtificial Intelligence (AI)Python (Programming Language)Machine LearningKerasJava+9

Technology robotix society

Machine Learning Mentor

Feb 2023 – Apr 2023 · 2 mos · Kharagpur, West Bengal, India

Mentored a 100-student batch of 2nd and 3rd-year undergraduate students from IIT Kharagpur in the field of Machine Learning.
Took several lectures teaching the basics of ML to all the students during the Winter School Workshop.
Helped the students prepare small projects by implementing the knowledge they gained during the lectures.

Image ProcessingMachine LearningKerasComputer VisionGitOptical Character Recognition (OCR)+1

Suvidha foundation (suvidha mahila mandal)

Machine Learning Intern

Feb 2023 – Mar 2023 · 1 mo · Remote

Implemented a novel text summarization model called "Knowledge-aware Abstractive Text Summarization" (doi: 10.48550/arXiv.2212.03371)
Utilized the advantages of Knowledge Graph to enhance the standard Seq2Seq model.
Extracted Knowledge Graph triplets from source text to provide keywords with relational information
Aimed to produce coherent and factually errorless summaries
Conducted extensive experiments using real-world datasets

Machine LearningPresentation SkillsPublic Speaking

Chi squarex

Machine Learning Engineer

Dec 2022 – Jan 2024 · 1 yr 1 mo

Developed and implemented machine learning models for various client projects using Python, Java,
and deep learning frameworks.
Hosted machine learning models on platforms like Heroku using Django to provide easy access to models
for end-users.
Generated detailed reports on model performance and recommendations for future improvements for
clients, ensuring transparency and effective communication throughout the project lifecycle.

Artificial Intelligence (AI)Python (Programming Language)Machine LearningKerasNatural Language Processing (NLP)Deep Learning