Mohammed Ashraf

Innovative ML Engineer with 5+ years of experience designing AI-driven solutions. Specialized in Generative AI, LLMs, and scalable MLOps. Expertise in custom models for classification, NER, and intent recognition, with proven ability in fine-tuning Gemini 7B and LLaMA 2. Skilled in RAG systems for chatbots and knowledge bases. Proficient in Python, TensorFlow, PyTorch, FastAPI, and AWS. Experienced in leading teams and driving AI innovation in startup environments.

• Oracle Cloud Infrastructure 2024 Generative AI Certified Professional [Issued by Oracle] [08 Jul 2024]
• MTA: Introduction to Programming Using Python [Issued by Microsoft] [ 14 Nov 2019]
• API Designer Certification [API Academy] [12 Jan 2021]
• Data Analysis Using Python [Issued by IBM] [03 Apr 2020

• Odia T5 Base Model For NLP Task In Odia Language: Developed a T5-based model for NLP tasks in the Odia language, including Question Answering (QA), summarization, and translation, using a custom Odia dataset. Trained on the mT5 architecture, achieving proficiency in various Odia NLP tasks.
• AgriQBot: Fine-tuned a FLAN-T5 model for question answering, using a custom dataset curated from trusted sources. Achieved a BLEU score of 0.86.
• Fine-Tuned Gemma 2B for Python Code Generation: Fine-tuned the Google Gemma 2B Instruct model with 4-bit quantization using PEFT. Employed Supervised Fine-Tuning (SFT) for accurate Python code generation from natural language instructions.
• Real-Time AI Telephony Sales Agent : Developed an AI-powered real-time agent for telephony sales with Twilio integration. The system responds to user queries in under 0.6 seconds. Integrated Groq and Deepgram for efficient speech recognition and NLP, enhancing lead conversion and sales efficiency.