Gowtham M. Email & Phone Number

Dallas, Tx, Us

Deployed AI models in a commercial setting, ensuring alignment with product-market fit and scalability on AWS and Azure platforms.Integrated OCR with Generative AI for efficient extraction of multimodal data (text, tables, figures) from PDFs.Utilized GPT-3.5 Turbo, GPT-3.5 Turbo-Instruct, and GPT-4 Vision-Preview for text mining, enhancing biological literature analysis.Applied prompt engineering techniques, leveraging in-context learning to refine AI outputs and achieve precise information extraction.Integrated vector databases like FAISS for efficient data retrieval and similarity search, improving response times and accuracy.Applied NLP techniques for advanced text processing, enabling interpretation of complex biological data across multiple formats.Conducted large-scale data mining, extracting actionable insights to improve AI model performance.Applied Bayesian inference for dynamic model updates and predictive analytics, ensuring model precision and robustness.Configured and deployed LLM libraries like LangChain on on-premise servers for scalable AI solutions.Debugged and fine-tuned Generative AI models (GPT-3.5 Turbo, GPT-4), improving performance and accuracy for production environments.

Denton, Texas, United States

Leveraged TensorFlow and PyTorch for model development and optimization, enhancing demographic and emotion recognition in fashion advertisements.Conducted large-scale data mining through web scraping and image processing, automating the extraction and analysis of over 50,000 images.Utilized Automation Anywhere for large-scale image data extraction, increasing efficiency of ad analysis by over 30%.Applied RPA tools to automate the collection and processing of demographic data, improving accuracy and reducing processing time.Developed AI algorithms for fraud detection in advertising datasets, improving detection accuracy through continuous model adjustments.Integrated cloud computing tools like Boto3 and AWS Rekognition for facial feature tracking, facilitating seamless data management and analysis.Implemented MLOps practices like model versioning, CI, and performance monitoring for AI models deployed on AWS and Azure.Demonstrated adaptability in ambiguous environments, delivering innovative AI solutions under tight deadlines.Collaborated with clients to deploy AI solutions, aligning with business goals and translating technical outputs into strategic recommendations.

Hyderabad Area, India

Applied large-scale data mining techniques to develop a radial search API, increasing job search efficiency based on geographical proximity using geospatial data science and predictive analytics.Built predictive models for job recommendation and personalization, leveraging customer segmentation techniques to deliver tailored search results and enhance user engagement.Utilized SQL for data querying and management, extracting insights from large datasets and optimizing AI model performance through relational database manipulation.Designed and implemented backend services using Java and Spring Boot, creating scalable solutions to handle dynamic data processing.Developed a backend service using FastAPI to process financial data at scale, improving proximity-based search and market trend analysis.Collaborated with stakeholders to align AI models with business goals, translating technical outputs into actionable insights for data-driven decision-making.Developed and deployed RESTful APIs to facilitate integration between AI systems and user interfaces, ensuring seamless data flow.Engaged in Agile development cycles, participating in sprint planning, daily stand-ups, and retrospectives to ensure timely delivery and continuous improvement of AI solutions.Enhanced data processing using Python libraries (pandas, NumPy, scikit-learn), enabling comprehensive data preprocessing, feature engineering, and model evaluation.

India

o Developed data-driven models to analyze user behavior, enhancing engagement and personalization within web applications.Integrated RESTful APIs to connect data sources, facilitating seamless data flow for real-time analytics and reporting.Implemented data preprocessing and feature engineering techniques using Python, improving model accuracy and performance.Collaborated with cross-functional teams, including UX/UI designers, to build intuitive data dashboards, ensuring user-friendly interfaces.Applied Agile methodologies throughout the project lifecycle, maintaining effective communication and delivering data insights on schedule.Developed data-driven models to analyze user behavior, enhancing engagement and personalization within web applications. Integrated RESTful APIs to connect data sources, facilitating seamless data flow for real-time analytics and reporting. Implemented data preprocessing and feature engineering techniques using Python, improving model accuracy and performance. Collaborated with cross-functional teams, including UX/UI designers, to build intuitive data dashboards, ensuring user-friendly interfaces. Applied Agile methodologies throughout the project lifecycle, maintaining effective communication and delivering data insights on schedule.o Skills: Data Analysis · Python · API Integration · Feature Engineering · Data Visualization · Agile