Deepika Podichetty
Ai Ml Engineer at Solix Technologies, Inc
Based in Frisco, United States
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Seniority
Staff
Department
Information Technology
Location
Frisco
Industry
Software Development
Company size
611
Contact information
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d•••••••@solix.com
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Background
About Deepika Podichetty
I am a highly motivated AI/ML Engineer with a strong background in software development and computer science, specializing in AI/ML and Gen AI. Currently, I am working at Solix Technologies, where I develop data classifiers and GPT models for enterprise data across structured, semi-structured, and unstructured formats. My focus is on leveraging advanced Retrieval-Augmented Generation (RAG) techniques, including Graph RAG, clustering, vector databases, and large language models (LLMs), including small LLMs, to solve complex data challenges. In my role, I work with TensorFlow, PyTorch, Hugging Face, NumPy, Pandas, and Scikit-Learn, developing and fine-tuning AI models to improve performance and accuracy. I integrate Human-in-the-Loop methodologies to continuously refine model outputs and ensure robust results. I also implement Role-Based Access Control (RBAC) to ensure data security and governance. Additionally, I build scalable AI/ML solutions across cloud platforms like AWS, Azure, and Google Cloud. Before joining Solix, I worked as a.NET Developer at TATA Consultancy Services. I was responsible for developing ASP.NET MVC applications for Protective Life Insurance, implementing complex C# business logic, enhancing web applications, and modernizing OpenText Captiva Capture, an advanced document management system using OCR and data extraction technologies. This experience sharpened my skills in OOP principles, SQL, and Agile methodologies. Throughout my career, I have been recognized for my excellence. I received the Award for Excellence twice at TCS for outstanding performance and learning agility. I was also honored with the Innovation Pride Award at Protective Life Insurance for my problem-solving and analytical skills. Additionally, I contributed to the winning team in the SEAL 1.8 Hackathon at TCS, showcasing my ability to innovate and collaborate effectively. I hold a Master’s degree in Computer Science from Western Illinois University, where I honed my analytical and problem-solving skills. I also completed certification in Python for Data Science, AI & Development from Coursera (IBM), further strengthening my expertise in AI/ML development. I am passionate about continuously learning and staying current with the rapidly evolving fields of AI, ML, and Gen AI. My goal is to apply my diverse skills in AI, ML, and cloud platforms to deliver innovative solutions that drive business success and create valuable outcomes.
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