Anant Singh Email and Phone Number
Co Founder at Querify and an experienced Data Scientist with a strong passion for exploring the potential of Language Models (LLMs) and Vision Transformers (ViTs). As a recent graduate from NYU with a Master's degree in Computer Engineering, I am eager to contribute my expertise in a dynamic and collaborative work environment where I can tackle challenging tasks head-on. I bring a wealth of skills to leverage in delivering impactful solutions.I have been actively involved in impactful research projects throughout my academic journey. Notably, I undertook a project that delved into assessing the personality traits of large language models, including GPTNeo, GPTNeoX, GPT-2, and OPT. Furthermore, I am currently engaged in research projects focusing on the text to SQL capabilities of various Large Language Models, including LLaMA, Chat-GPT, GPT-3, and GPT-4. In addition, I have expanded my work to speech models such as HUBERT, Wav2Vec, and Whisper, as I work towards the development of a cutting-edge Multilingual Speech Emotion Recognition System. I have experience running and handling large models up to 66 Billion parameters on distributed cloud and SLURM systems.With a solid foundation in Natural Language Processing, Machine Learning, and Deep Learning, I possess a diverse skill set that includes High Performance Machine Learning, Data Visualization, and Problem Solving. I am proficient in Python, C, SQL, and have hands-on experience with key libraries such as PyTorch, TensorFlow, NumPy, and Pandas. I have also worked extensively with AWS, Docker, Git, and Linux.During my tenure as a Data Science Research Intern at HERE Technologies, I worked with ViTs based models and developed a synthetic data generation pipeline to overcome data scarcity to train such models for perception tasks with a huge number of classes. Additionally, my experience includes developing and deploying multistage models for Detection and Classification, where I optimized their performance on satellite imagery using super resolution techniques using GANs.If you are seeking a highly skilled Data Scientist with a passion for innovation and a track record of delivering impactful solutions, I invite you to connect. Let's explore how we can drive success and make a difference together.
-
Machine Learning EngineerApple Nov 2023 - PresentCupertino, California, UsImproving Document AI systems using computer vision and natural language processing techniques at Applied Machine Learning team.
-
Co-FounderQuerify Aug 2023 - PresentNew York, Us -
Ai ResearcherLlama Run Jul 2023 - Nov 2023· Developed LLM (OpenAI GPT4) based RAG generative system for automated and easier Data Analytics. Leveraged embeddings from HuggingFace and OpenAI, alongside LangChain and Chroma Vector DB for RAG system Created a robust REST API using FASTapi and successfully deployed it on AWS.· Enhanced the quality and precision of open-source models such as Llama2 13B, 70B, CodeLlama 13B, and 34B, as well as proprietary models for SQL-Text generation. Employed techniques like Supervised Fine-tuning (SFT), Parameter Efficient Fine-tuning (PEFT) and LORA, thereby ensuring optimal performance and accuracy of the system.· Proficiently utilized a comprehensive technology stack, including Python, PyTorch, HuggingFace, LangChain, FASTapi, MLflow, AWS, and SQL to host, develop, and maintain the Generative AI system, with strong commitment to staying up-to-date on AI.
-
Data Science Research InternHere Technologies Feb 2023 - May 2023Eindhoven, North Brabant, Nl· Designed synthetic data generation pipeline that dramatically decreased data curation expenses down to 20% and minimized computational resources required for training perception models. Used TensorBoard and Optuna to optimize the models.· Trained ViT based Context Autoencoder (CAE) model on MMSelfSup backend and overcame data scarcity for perception models with Supervised Contrastive Learning (SCL). Built models for North America and Europe with more than 1000 classes. -
Student Ai ResearcherJpmorgan Chase & Co. Oct 2022 - Feb 2023New York, Ny, UsProjects: - Measuring Personality of Large Language Models-- Assessed whether LLMs have developed a personality and whether we have the right tools to measure personality. Introduced Option-Order Symmetry property necessary condition for realizable self-assessment personality tests. -- Found that many LLMs' personality test responses indicate a lack of consistency in their behavior. Also identify inherent biases in LLMs, which contribute to the unreliability of self-assessment tests. Worked with GPTNeo, GPT2 and OPT.- Multilingual Speech Emotion Recognition System-- Studying Speech models like HUBERT, Wav2Vec for Speech Emotion Recognition (SER) task on 7 different languages. Developing an exhaustive benchmark for SER with support of all the feature extractors and languages available.-- Researching best finetuning strategy for SER feature extractors and ASR models, on Huggingface backend.- Robustness of Semi Supervised Learning Algos in NLP-- Testing robustness of Semi supervised learning algorithms when subjected to out-of-domain noise in unlabeled dataset. Working on UDA, Mixtext, Self- Training and iPET. Worked with BERT and RoBERTa-large. -
Data Science Research InternHere Technologies Sep 2022 - Dec 2022Eindhoven, North Brabant, Nl· Developed, trained, and deployed multistage models for Road Sign Markings Detection and Classification in satellite images for HERE Maps. Tuned the models (ResNet, YOLOv3) for optimized performance to work on huge image and GeoJSON datasets.· Improved Classification pipeline by applying super resolution to the satellite imagery for better feature extraction from low resolution images. Worked in Agile development environment, developed with PyTorch and deployed on AWS cloud.
-
Deep Learning ResearcherNyu Vertically Integrated Projects (Vip) Sep 2022 - Dec 2022Brooklyn, New York, UsContributed to the research team focused at building an application that takes in historical data of the instruments and forecast the return by machine learning and time series methods. Then, apply the aggregated pipeline onto the portfolio and rebalance the allocation regularly. The goal of the project was to establish an application that can perform real-time rebalance portfolio allocation for investors. -
Assistant System EngineerTata Consultancy Services Nov 2020 - Sep 2021Mumbai, Maharashtra, In· Developed and maintained Machine Learning models for a range of client projects, leveraging Python, Scikit-Learn and AWS· Collaborated with cross-functional team to ensure the successful delivery of data-driven solutions and meet client expectations -
Data Scientist, Co-FounderKursi Store May 2019 - Nov 2020· Cofounded a startup focused on providing space saving furniture in Indian metro cities. Started from 2 and grew to 50 in 9 months during the pandemic. Built the website (www.kursistore.com) for the startup.· Managed Data Science team and increased sales by deploying Machine Learning pipelines to predict best marketing channel and budget for a given product to better utilize resources for product marketing. -
ResearcherKrishna Institute Of Engineering & Technology Aug 2017 - Feb 2019Ghaziabad, Uttar Pradesh, In· Assisted Prof from Electronics and Communication Department in analog electronics research. Studied, simulated, and developed research papers on novel analog electronics circuits for publication.· Published: An Active-C Realization for Simulating Electronically Controllable Lossy Grounded Inductance (IEEE)· Published: 5G: An overview of Channels characteristics and modelling techniques (IEEE)
Anant Singh Education Details
-
New York UniversityConcentration In Data Science -
Krishna Institute Of Engineering & TechnologyElectronics And Communication Engineering
Frequently Asked Questions about Anant Singh
What company does Anant Singh work for?
Anant Singh works for Apple
What is Anant Singh's role at the current company?
Anant Singh's current role is ML Engineer @ Apple | AI Researcher | NYU '23 | Berkeley Skydeck | NYC Catalyst.
What schools did Anant Singh attend?
Anant Singh attended New York University, Krishna Institute Of Engineering & Technology.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial