• Collaborate with stakeholders to define language model objectives and tasks.
• Developing and testing API's for different applications and platforms, using RESTful principles.
• Creating and training generative AI assistants that can interact with users in natural language, using deep learning and natural language processing techniques.
• Collect, preprocess, and analyze data; choose or design an appropriate pre-trained language model; and train/fine-tune the model.
• Evaluate model performance, implement interpretability techniques, and continuously improve the model based on feedback and advancements in the field.
• Deploy the language model, implement monitoring for real-world performance, and maintain security, compliance, and user feedback mechanisms.
• Contributing to the Python core development, fixing bugs, improving performance, and adding new features and test cases.
• Designing and implementing web interfaces for different projects, using HTML, CSS, JavaScript, and frameworks like React and Bootstrap

Conceptualized, designed, and developed cutting-edge conversational AI apps in Python and JavaScript for seamless client system integration.

Oversaw end-to-end integration, enabling real-time data exchange between chatbots and external platforms via API connections.

Managed deployments, optimizing AI solutions for 25% faster response times and superior user engagement.

Enhanced conversational AI by integrating and fine-tuning GPT-3 and ChatGPT models.

Designed captivating conversational interfaces powered by ChatGPT to elevate user engagement.

Crafted context-aware prompts for superior content generation, constantly refining strategies.

Established robust data tracking and analytics pipelines, driving data-driven improvements and reducing error rates.

Collaborated closely with clients to align AI solutions with business goals, resulting in a 15% client revenue boost.

Provided visionary leadership to a cross-functional team, mentoring junior members in AI development for enhanced performance and capabilities.

• Developed and maintained Python web scraping scripts, automating manual processes to ensure data accuracy and reliability.
• Designed, developed, and managed Python applications and desktop tools, harnessing Python libraries and frameworks for efficiency.
• Implemented automation solutions to streamline processes, reducing errors and saving significant time and resources, achieving a 30% increase in operational efficiency.
• Crafted responsive web apps using HTML, CSS, JavaScript, and Python frameworks like Django or Flask, and built interactive dashboards with real-time data integration.
• Designed user-friendly desktop tools to enhance internal processes and user experiences.
• Seamlessly integrated data sources into dashboards, ensuring data accuracy and real-time information updates.