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Vetted PyTorch developer in India (UTC+6)
I am Arushi Singhal, Software Engineer at Amazon. I have a keen interest in Algorithmic Problem Solving and have been programming for around 7 years now. I interned in Summer 2019 at Google as a Software Engineer. In Summer 2018, I did a Machine Learning internship at Robert Bosch Engineering and Private Limited, Bangalore, India (RBEI). I have multiple experiences of back-end development for large-scale systems. During my internships, I worked with Python and machine learning libraries in Python, Java, gRPC, Protocol Buffer, Google Guice and Google’s Internal Frameworks, Django, Ruby on Rails. I have also contributed to many open-source projects, including the Linux Kernel. I have submitted over 50 patches to kernel code. My other contribution to Open Source can be seen on my GitHub Profile. I am also passionate about mentoring and motivating people to contribute to open-source projects and was Google Code-In Mentor in 2017 for OpenWISP and Sugar Labs. I also worked as a Computer Science Instructor at CodeConnect, where we as an instructor ensure that our computer science education is accessible, empowering, and supportive for the next generation, and committed to our mission of increasing diversity in tech. In CodeConnect, I gave Python lectures to Pre-University students. I also used to be a Student Teaching Assistant and Research Assistant and I find teaching/mentoring extremely motivating - sometimes I'd get introduced to new interesting topics that I'd probably never think of finding out about on my own if it wasn't for the purpose of explaining it to someone else. Sometimes I'd get a completely new perspective on subjects I thought I knew when trying to find a way to present it to someone else. I'd really love to keep learning this way. One of the topics I'm always happy to talk about are the interviews - I've done a fair share of them, most of them in top tech companies and I would love to share what I've observed so far. I'm always up for tackling interesting interview questions, doing mock interviews or just giving resume tips (I got my interviews at Amazon, Facebook, Microsoft, Google and also at open-source communities without a referral, so I might help you with reviewing your resume to make it stand out. :)) Other than that, you can always reach out to me if you have questions related to Java, Python, R, Matlab, C, C++, Data Structures, Algorithms, SQL, GIT, Mathematics etc. I try to keep my knowledge and skills up to date and learn something new every day by helping you! Being a researcher, quick learner and having software development experience, I believe I am a good fit for mentoring.
Vetted PyTorch developer in India (UTC+6)
I am a Senior Data Scientist with 6+ years of experience in projects involving Gen AI deep learning, user insights, and biometric identification systems. Proficient in Python, TensorFlow, and various cloud platforms. TECHNICAL SKILLS □ Languages: Python (Numpy, Pandas, Jupyter, OpenCV, Scipy, Flask, Fast API, Plotly), SQL/HQL. PySpark □ Deep Learning and ML models: TensorFlow, Keras, PyTorch, fast.ai, LightGBM, XGBoost, Scikit-Learn □ Others: GCP, Azure, Docker, Kubernetes, PySpark, Conda, Git, MLflow, JMeter, Linux Bash
Vetted PyTorch developer in India (UTC+6)
Data Scientist with 6.5 years of expertise in ML, NLP, and deep learning. Proficient in Python, R, and SQL, skilled in intricate data analysis, visualization, and statistical modeling. Proficiency in Generative AI tools like LangChain, seamlessly integrating it with ChatGPT, Pinecone, LLAMA 2, and Hugging Face for dynamic language-based applications. Strong problem-solving abilities, excelling in fast-paced environments.
Vetted PyTorch developer in India (UTC+6)
My interests lies at the interface of computer graphics, computer vision, and machine learning, with a focus on human pose estimation and data-driven artistic content creation tools. I had worked for several companies, including Yahoo! in Bangalore, Weta Digital in New Zealand and Apple in Cupertino. I have been especially active in the human sensing related industries and served as a developer for Weta Digital’s motion capture system. This system has been used in many feature films, and I was credited for my work in Steven Spielberg’s, The Adventures of Tintin (2011).
Vetted PyTorch developer in India (UTC-8)
I am a Genai researcher at Monotype, specializing in generative models,NLP, and recommender systems. I have experience in ML engineering, research, and development across various industries.
Vetted PyTorch developer in India (UTC+6)
Seasoned AI/ML Specialist with 16 years of experience, specializing in AI-ML project and product strategy, program management, and quality assurance execution. Focused on developing advanced NLP applications using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). Expertise in AI-ML application development life cycle management, creating robust and scalable solutions. Proven skills in Python backend development and extensive experience in test automation with Selenium, Cypress, and Playwright. ISTQB certified and proficient in Agile methodologies, known for effective collaboration with cross-functional teams.
Vetted PyTorch developer in India (UTC+6)
As a Generative AI Engineer, I am responsible for developing, designing, and maintaining cutting-edge AI-based systems to ensure smooth and engaging user experiences. My role involves creating and developing generative models that have the ability to generate new content, such as images, text, and audio, based on patterns. I work across client teams to develop and architect Generative AI solutions using machine learning and other AI technologies. Additionally, I participate in activities which includes refining and optimizing prompts to improve the outcome of Large Language Models (LLMs). I also evaluate and select appropriate AI tools and machine learning models for tasks, as well as build and train working versions of those models using Python and other open-source technologies.
Vetted PyTorch developer in India (UTC+6)
I have a strong background in AI, GenAI, and ML, I believe I can bring valuable expertise to your team. Over the years, I've worked on some cutting-edge AI projects that I'm quite excited about. At Motive, I built an end-to-end facial recognition system that could identify drivers with more than 85% accuracy, handling over 1 lakh predictions daily. I also developed multi-task deep learning models for object detection and tracking, which we deployed on more than 10 lakh edge devices. I've got hands-on experience with the latest in GenAI too. At Stybe, I leveraged Large Language Models (LLMs) to create a personalized search experience for our fashion app. We used vector databases like Qdrant for semantic search, achieving over 90% accuracy in product matching. My technical toolkit includes Python, PyTorch, and TensorFlow, and I'm well-versed in cloud platforms like AWS. I've worked extensively with GPT models, BERT, and T5, and I'm comfortable with prompt engineering and frameworks like LangChain. I've applied ML to solve real-world problems. At Wipro, I developed a COVID-19 detection app using audio analysis, achieving an F1 score of 0.89. I've also worked on innovative projects like using GANs for document denoising and implementing one-shot learning for symbol recognition in engineering drawings. I'm really passionate about pushing the boundaries of what's possible with AI and ML. I'd be thrilled to bring this expertise to your team and contribute to developing next-generation AI solutions. I'm looking forward to the possibility of discussing how my skills can contribute to your AI initiatives.
Vetted PyTorch developer in India (UTC+6)
I am a skilled AI Engineer with experience in developing cricket stat search engines, fantasy sports recommendation systems, and automated content generation pipelines. I have also worked as a Data Scientist, focusing on automatic speech recognition systems and social media analytics. Additionally, I have experience as a Systems Engineer, designing ETL pipelines and chat-bots for recommendation systems. I hold a Master of Science degree in Machine Learning and Artificial Intelligence.
Vetted PyTorch developer in India (UTC+6)
15+ years of experience as a software developer and 9+ years of experience as a data scientist. Excellent expertise in Python programming, and ML frameworks such as TensorFlow, PyTorch, Pandas, Numpy, and MLOps platforms such as SageMaker. Analyzed audio data using LibROSA and Kaldi. Experience in the development of RAG models. Expertise in architecting, developing, productionizing, and scaling GenAI applications, Computer Vision models, and Recommender systems Experience with LangChain, vector databases, and similarity search
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