Varun Agrawal

AI Researcher

Kharagpur, West Bengal, India4 mos experience

Key Highlights

Proficient in Python and C++ for innovative tech applications.
Experience in generative AI and machine learning projects.
Strong academic performance with dual degree from IIT Kharagpur.

Stackforce AI infers this person is a Data Science and AI enthusiast with a focus on innovative applications in technology and finance.

Contact

Skills

Other Skills

ArangoDBBERT (Language Model)Data AnalysisData AnalyticsData CleaningData ExtractionDeep LearningFine TuningGPT-3Generative Adversarial Networks (GANs)Image ProcessingLanguage ModelingLarge Language Models (LLM)LearningMachine Learning

About

I am currently a final year undergraduate student at IIT Kharagpur pursuing my dual degree course which is Bachelor of Technology in Chemical Engineering and Masters in Financial Engineering. My interests revolve around the exciting intersection of technology and finance. Proficient in programming languages like Python and C++, I am enthusiastic about exploring innovative applications in areas such as Natural Language Processing, Generative AI and Machine Learning. Keen to connect with people who share similar interests in these dynamic fields!

Experience

Genloop

Applied AI Research Intern

May 2025 – Jul 2025 · 2 mos · Noida · On-site

Engineered a low-latency, high-reliability enterprise analytics service by architecting optimized agentic workflows and an advanced semantic search framework.

Sigmoid

2 roles

Consultant - Data Science

Nov 2024 – Apr 2025 · 5 mos · New York, United States · Remote

Objective: Worked on a creative engine tool to automate ad creation, enhancing video generation and customization processes
Designed workflows using Selenium, optimizing Runway interactions by scripting dynamic tool usage for increased efficiency
Executed multithreading to process multiple video generation tasks concurrently, significantly reducing execution time
Integrated CLIP model for image retrieval, enhancing video content creation by matching images with specific textual prompts

Data Scientist Intern

Sep 2024 – Oct 2024 · 1 mo · New York, United States · Remote

Deep forest sciences

Machine Learning Engineer Intern

May 2024 – Jun 2024 · 1 mo · Palo Alto, California, United States · Remote

Objective: Development of a web platform similar to Hugging Face for public hosting and access to DeepChem models and datasets
Integrated interfaces with APIs and MySQL databases using Python and SQLAlchemy, accelerating model deployment for drug discovery
Created end-to-end automated tests using Cypress, significantly improving software reliability and reducing manual testing efforts

National university of singapore

Research Intern

Dec 2023 – Mar 2024 · 3 mos · Singapore, Singapore · Remote

Objective: Generation of synthetic on-body gait data to enhance behavioral biometric applications using generative AI models
Developed a methodology for synthesizing Inertial Measurement Unit data for over 1000+ new individuals using the NUS-IGD dataset
Enhanced MaskGIT in TimeVQVAE, substantially improving the model's ability to generate highly realistic walking action time series data
Achieved a Frechet Inception Distance (FID) score of 5.22, demonstrating realism of synthetic time series data for biometric applications
Paper submitted, under review at ICPR, 2024

The university of texas at austin

Research Intern

Aug 2023 – Oct 2023 · 2 mos · Austin, Texas, United States · Remote

Objective: Generate time series data from textual prompts and thoroughly analyze multiple representation learning techniques
Applied Time2vec and CLAP (Contrastive Language-Audio Pretraining) to evaluate their effectiveness in capturing temporal attributes
Used t-SNE and PCA to qualitatively evaluate the performance of representation learning techniques on synthetic time series signals
Employed Pinecone as a vector database to store vectors generated using CLAP model, ensuring efficient retrieval and scalability of data

University of georgia - terry college of business

LLM Engineer Intern

Jul 2023 – Aug 2023 · 1 mo · Athens, Georgia, United States · Remote

Objective: Development of a chatbot to provide information tailored for small startups, leveraging RAG for interaction capabilities
Implemented web scraping techniques using BeautifulSoup to extract and analyze textual data relevant to startups from diverse sources
Adopted BERT (Bidirectional Encoder Representations from Transformers) for efficient data retrieval and analysis of scraped startup data
Leveraged Qwen LLM to develop a chatbot using the RAG (Retrieval-Augmented Generation) framework, enhancing user interactions

Indian institute of science (iisc)

Data Scientist Intern

May 2023 – Jul 2023 · 2 mos · Bengaluru, Karnataka, India · On-site

Objective: Implemention of multiple recommender systems for courses offered by Zenteiq Edtech, to optimize course discovery
Executed a user-search Recommender System utilizing TF-IDF for course discovery by aligning user queries with most relevant courses
Designed a skill-gap analysis system using one-hot encoding and cosine similarity to recommend courses based on user skill profiles
Integrated MongoDB and ArangoDB for data integration, ensuring efficient storage, retrieval, and management of user and course data