Open to opportunities

Anveshika Kamble

@anveshikakamble

Message

Machine learning researcher specializing in vision-language models and NLP.

United States

Message

What I'm looking for

I seek research-focused roles applying vision-language and NLP methods in collaborative teams that value reproducible, publication-quality work and offer growth toward R&D or lead research positions.

I am a machine learning researcher with hands-on experience in vision-language models, few-shot learning, and NLP, currently conducting research at the University of Pittsburgh. I have built end-to-end pipelines that combine thermal and RGB imagery, developed prompt-based few-shot support sets, and achieved strong pixel and region-level evaluation metrics.

My work spans multimodal dataset curation and analysis — from organizing large social-media corpora to detect misinformation and persuasive narratives to creating specialized datasets for window air leakage detection. I have applied weak supervision and LLM-driven labeling workflows, and I routinely use PyTorch, Hugging Face Transformers, OpenCV, and related tools in production-style research projects.

I hold a B.Tech in Artificial Intelligence and Data Science and am pursuing an M.S. in Computer Science. I publish in venues such as ACM BuildSys and have experience mentoring and teaching ML coursework, running labs, and supporting student learning while collaborating across research and industry internships.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Research Intern

Current

University of Pittsburgh

Jan 2025 - Present (1 year)

Built an end-to-end Qwen-VL vision-language pipeline on a curated 1,266 thermal+RGB image pairs dataset to generate structured window descriptions and leak captions, achieving 0.98 pixel-wise accuracy and 0.85 Dice score while iterating prompts via qualitative error analysis.

Qwen VL Few Shot Learning Prompt Engineering OpenCV PyTorch Data Curation

Current

Course Facilitator

Current

University of Pittsburgh

Dec 2024 - Present (1 year 1 month)

Led labs and office hours for Applied Predictive Modelling covering EDA, feature engineering, and model building, and managed grading and student support through Salesforce.

PyTorch scikit learn Pandas Teaching Grading Student Support

AI Research Intern

University of Pittsburgh

May 2025 - Aug 2025 (3 months)

Analyzed 50,000 social and ad posts to build a multimodal dataset and NLP pipelines for detecting off-label mentions and persuasive narratives around Ozempic, and developed a weak-labeling workflow with LLMs achieving >70% label accuracy.

NLP Prompt Engineering LLM Weak Supervision PyTorch Sentiment Analysis

Project Intern

Veritas Inc

Sep 2022 - Jan 2023 (4 months)

Developed and optimized a multi-phase data de-duplication backend using an optimal hashing algorithm to achieve complete removal of duplicate data across text, image, and video files.

Python SQL Backend React Algorithm Design

Education

Degrees, certifications, and relevant coursework

University of Pittsburgh

Master of Science, Computer Science

2024 -

Master of Science in Computer Science with coursework in Machine Learning, Natural Language Processing, Artificial Intelligence, Algorithm Design, and Data Mining.

Vishwakarma Institute of Technology, Pune

Bachelor of Technology, Artificial Intelligence and Data Science Engineering

2020 - 2024

Grade: 9.1/10

B.Tech in Artificial Intelligence and Data Science Engineering with a CGPA of 9.1/10 and coursework in Deep Learning, Machine Learning, Probability and Statistics, Artificial Intelligence, and Data Science.