Hire Mohammed P. - Chatbot Developer

Developed and deployed chatbots using Flows in Dialogflow CX and designed architectures using LucidCharts - Analyzed design deficiencies and engineered robust internal and common fallback strategies for out-of-scope user utterances, ensuring a more intuitive and seamless user interaction. - Analyzed Dialogflow CX logs and user interaction data to identify and address issues related to API failures, model inference, prompt injection and refined using NLU’s Intents, entities, prompting strategies, training examples, event handlers, generators, adding common guardrails and cyber guardrails. - Prioritized Responsible AI by integrating comprehensive guardrails and conducting rigorous testing to ensure empathetic, respectful, and trustworthy bot responses, enhancing the user experience. - Actively supported User Acceptance Testing (UAT) by creating initial test cases, diligently fixing bugs identified during testing, and providing technical guidance on complex conversational flows. - Served as a key developer during hypercare and post-launch phases, providing rapid bug-fix resolution in production to maintain solution stability, performance, and alignment with business objectives. - Articulated strategic design changes and project outcomes to international stakeholders, fostering cross-functional alignment for successful chatbot deployments. - Independently managed code merging processes and facilitated the seamless movement of code and configurations between different Dialogflow CX agents, ensuring development agility and consistency.

Fine – tuned the model using RLHF, leveraging human feedback to refine large language models. Crafted and optimized prompts to guide models towards relevant answers, contributing to the advancement of AI algorithms. Developed and iteratively refined over 100+ prompts based on user feedback, enhancing model performance and accuracy. Collaborated with peers to share insights and best practices in prompt design and optimization. Contributed to the advancement of prompting methodologies by integrating cutting-edge techniques such as Few Shot Prompting, RAG, COT, and Self Consistency into task workflows. Promoted to reviewer within a mere 2-week timeframe, demonstrating rapid progression and proficiency.

Developed an interactive chatbot leveraging AI semantic search and Created a personalized resume maker for students using Generative AI (OpenAI), tailoring solutions to meet unique individual requirements. - Instructed educational sessions for over 60+ students on Deep Learning Projects like OpenCV, RNN, CNN, LSTM, Attention etc.., providing practical insights and facilitating a deeper understanding of the subject. - Produced datasets for student projects, resulting in significant recognition, with top 3 projects garnering 13k, 7k, 4k views and 2k, 1k, 800 downloads respectively, each earning a bronze medal.