PRANSHU PANDYA

Software Engineer

Amsterdam, North Holland, Netherlands2 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Developed novel multimodal reasoning benchmarks.
Published research in EMNLP 2024.
Strong expertise in AI and Full-Stack Development.

Stackforce AI infers this person is a skilled AI and Full-Stack Developer with a focus on NLP and multimodal systems.

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Skills

Core Skills

Full-stack DevelopmentTypescriptReact.jsNatural Language Processing (nlp)Vision Language ModelsLarge Language Models (llm)Python (programming Language)Statistical Data AnalysisLeadership

Other Skills

AI ProductivityAgentsComputer VisionDatabasesFlutterIncrease ProductivityKnowledge Representation and ReasoningMATLABNote TakingProtocol BuffersPyTorchScalaSystems DesignTiDBc++

Experience

Databricks

2 roles

Software Engineer L4

Promoted

Sep 2025 – Present · 6 mos · Amsterdam, North Holland, Netherlands

AgentsAI ProductivityFull-Stack DevelopmentTypeScriptScala

Software Engineer L3

Jul 2024 – Aug 2025 · 1 yr 1 mo · Amsterdam, North Holland, Netherlands

React.jsScalaFull-Stack DevelopmentSystems DesignProtocol BuffersTiDB+2

University of pennsylvania

Research Internship

Dec 2023 – Aug 2024 · 8 mos · Remote

Developed two novel multimodal reasoning benchmarks—FlowVQA for logical reasoning in flowcharts and NTSEBENCH for cognitive aptitude tasks—advancing the evaluation of vision-language models in spatial, logical, and abstract reasoning. Conducted baseline experiments and analysis on state-of-the-art LLMs and VLMs. Explored and evaluated strategies for effectively integrating multimodal inputs into vision-language models to optimize reasoning performance.

Natural Language Processing (NLP)Vision Language ModelsComputer VisionKnowledge Representation and Reasoning

Nk securities research

Quant Research Intern

May 2023 – Jul 2023 · 2 mos · Gurugram, Haryana, India · On-site

c++Python (Programming Language)Statistical Data Analysis

University of utah

Research Internship

Nov 2022 – Dec 2023 · 1 yr 1 mo · Remote

Worked on devising strategies to achieve concurrent robustness in LLMs across diverse challenge sets. Got our work published in main conference of EMNLP 2024.

Large Language Models (LLM)PyTorchNatural Language Processing (NLP)