Tejas Jain Email & Phone Number

Palo Alto, California, United States

Develop classifiers to keep the integrity of the internet safe.Tech: Large Language Models (LLM), Decision Trees, Random Forests, SVM, BERT, VIT, CLIP, Few Shot Prompting, Fine Tuning, Embeddings, Retrieval Augmented Generation (RAG), GraphRAG, Graph Databases, Graph Search, Clustering, Semantic Search, Linear Algebra, Matrix Multiplication, Sagemaker, CUDA, OpenAI, ChatGPT, Claude, Anthropic, Gemini, Machine Learning, Classification, Classifiers, Inference, Entailment, Hugging Face, Django, AWS, SES, S3, EC2, CloudFront, DynamoDB, NLB, GRPC, REST, JWT, Snowflake, Streamlet, Tableau, PostgreSQL, Python, Typescript, Tailwind, React, RapidAPI, Apify, DynamoDB, Caching

San Francisco, California, United States

• Pioneered zero-shot learning implementation in custom computer vision, elevating model intelligence by 30%. Collaborated with a team of five to drive industry-leading advancements• Improved object recognition accuracy by 40% across 10+ client applications using zero-shot learning models. Played a key role in a cross-functional team, facilitating the integration of cutting-edge technologies

Los Angeles, California, United States

• Spearheaded research project funded by NSF, DARPA, focusing on temporal video segmentation for information extraction from lecture videos• Engineered an innovative lecture segmentation algorithm utilizing the TW-FINCH approach with customized feature weighting, enhancing segmentation accuracy and efficiency in processing educational content

Pune

• Designed a chatbot using the fine-tuned LLM model on domain-specific use-case using proprietary Q&A pairs, achieving a remarkable 39% reduction in response time• Enabled over 10,000 daily user interactions with the chatbot, providing accurate information and contributing to an 18% increase in operational efficiency• Spearheaded the development of a cutting-edge surveillance application, integrating Faster R-CNN for precise object detection and FaceNet for robust facial recognition

Pune, Maharashtra, India

• Implemented a streamlined pipeline to scrape financial data from multiple sources for analyzing the ROI of start-ups, catalyzing financial analysis of 10,000 start-ups per week, and facilitating data-driven investment decisions• Developed web crawlers and scrapers in Python to extract data from websites and employed predictive analysis and artificial intelligence to motorized data storage in managed system• Created a hybrid classifier combining supervised LDA topic model and deep neural network, achieving an accuracy of 96.7% in predicting key attributes of scraped start-ups, boosting decision-making for investors

Pune, Maharashtra, India

• Built WeTrace, a secure mobile and web application prototype for logistics-based startups, resulting in a 40% improvement in shipment tracking efficiency and a 30% reduction in operational costs• Devised a complex database and developed RESTful APIs using NodeJS and Swagger• Optimized performance and mechanized data cleaning, resulting in a 50% reduction in database errors and revising overall data accuracy and reliability

Master Of Science - Ms, Computer Science

Bachelor Of Engineering - Be, Computer Engineering