With a Master's degree from the University of California, Riverside, and a Bachelor's degree from IIT Palakkad in Computer Science and Engineering, my journey has been deeply rooted in the evolving terrains of Artificial Intelligence and Machine Learning. As a Marchine Learning researcher at Subconscious AI, I explore the potential of synthetic data, venturing beyond conventional boundaries with GANs, VAEs, and diffusion models to redefine what AI can accomplish.Technological Proficiency:Expert in AWS, TensorFlow, PyTorch, GCP, and the MERN Stack, I'm adept at constructing REST APIs and utilizing CI/CD pipelines for streamlined development and deployment. My approach is fortified by MLOps methodologies, ensuring scalable and efficient AI system development.AI Expertise:My comprehensive skill set spans Deep Learning, NLP, GANs, VAEs, RLHF, and Big Data technologies. This diverse expertise empowers me to navigate complex data challenges and advance AI's capabilities significantly.Innovations in GenAI:Leading the charge in Generative AI, I utilize LLaMA for advanced language understanding, LangChain for crafting intelligent AI applications, and RAG for creating context-rich content. A highlight project involved developing a financial smart bot using RAG, delivering precise, tailored financial advice and exemplifying the practical application of AI innovation.Internship Achievement:My experience at "WeAreHere" was marked by the complete development and deployment of an ML-driven recommendation system, from model inception to web interface integration and automating deal creation with HubSpot. This project underscored the power of AI in enhancing user engagement and optimizing CRM processes.Current Research:Currently, as a Machine Learning Researcher, my focus lies on pioneering synthetic data generation with GANs, VAEs, and diffusion models. My work transcends exploring AI's potential, aiming to create models that mimic reality, ignite creativity, and offer novel solutions to practical challenges.Vision for the Future:My goal is to harness AI and Data Science to transform critical sectors like healthcare and agriculture, introducing innovative solutions backed by strategic insights. Committed to lifelong learning, I am dedicated to adopting the latest advancements in AI to achieve impactful and lasting outcomes.I am keen to collaborate on projects that leverage the forefront of AI and ML technologies to drive substantial breakthroughs. Let’s forge the path to innovation together!
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Software EngineerKahuna LabsSan Jose, Ca, Us -
Lead Machine Learning EngineerWe Are Here Jun 2024 - Present● In Pilot 2, incorporating Reinforced Learning with Human Feedback (RLHF) into the loop, aiming to further increase the reliability of the recommendation results and also working on the scalability of the results. -
Machine Learning ResearcherSubconscious Ai Feb 2024 - PresentNew York, United States● Elevated behavioral research through innovation in synthetic data creation, utilizing GANs and VAEs to produce diverse and realistic surveydatasets, markedly improving the precision, efficiency, and reliability of experimental findings.● Worked on causal graph modeling initiatives which helps influence strategic product decisions and increase user engagement through deep insights into customer behaviors and preferences.●Working on building a market simulator which takes the attributes and levels as inputs and makes real world recommendations via Perplexity API. -
Machine Learning Engineering InternWe Are Here Jul 2023 - Dec 2023Austin, Texas, United States● Developed an ML recommendation system, automating the initial manual, human-analyzed recommendation process through the implementation of content-based filtering. This approach utilizes multivariate data analysis to deliver tailored suggestions.● Architected and implemented the ML model using AWS Managed Services, employing AWS Lambda and SageMaker for model development, and EC2 and S3 for deployment and storage.● Developed a web interface using the MERN tech stack, enabling the business to showcase results from the model and automate data exchange with the HubSpot CRM for enhanced human interaction and efficiency.● Constructed a REST API using AWS API Gateway to, triggering AWS Lambda functions to display the recommendation results on the web interface, ensuring a seamless user experience.● This pilot project achieved a 10X increase in efficiency compared to the manual effort previously required, while maintaining a reliability rate of 75-80%.
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Nlp Research InternUst Jun 2021 - Aug 2021Thiruvananthapuram, Kerala, India● Conducted comprehensive research and analysis into state-of-the-art NLP architectures. Designed and executed a complex sentiment analysis and keyword extraction project, utilizing advanced NLP techniques to classify and extract key features from a review dataset.● Developed a custom model using the pre-trained DistilBERT architecture, achieving an impressive accuracy of 98% for classification tasks.● Leveraged the powerful NLTK library and Plotly visualization tool to extract and visualize data, creating a rich and interactive web page usingHTML, CSS, and Flask.● This project can help a company gain valuable insights into customer sentiment and product feedback, streamline data analysis processes, and stay competitive in a rapidly evolving field.
Mahitha Sannala Education Details
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Computer Science -
Computer Science
Frequently Asked Questions about Mahitha Sannala
What company does Mahitha Sannala work for?
Mahitha Sannala works for Kahuna Labs
What is Mahitha Sannala's role at the current company?
Mahitha Sannala's current role is Software Engineer.
What schools did Mahitha Sannala attend?
Mahitha Sannala attended University Of California, Riverside, Indian Institute Of Technology, Palakkad.
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