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Built a scalable AI system using the DreamBooth image generation model. ● Fine-tuned Stable Diffusion pipelines built with PyTorch, generating 2,000+ images per month at 98% acceptance. ● Engineered ESRGAN upscaling, reducing artifact rejection by 35% and refining creative-tech workflows. ● Bridged technical and strategic roles by defining KPIs (latency, quality, adoption), turning data insights into actionable improvements. ● Exhibited product ownership in Agile sprints (Jira, Airtable) to facilitate the development of AI-powered features on our web application. ● Drove 25% adoption growth, 20% repeat business, and 15% YoY revenue growth through roadmap alignment.

● Embarked on a public-sector path by creating a multilingual chatbot with BERT and RAG, boosting citizen engagement by 42% and igniting my NLP passion. ● Fine-tuned Falcon-7B and LLaMA with LoRA, achieving 40% faster inference and 20% lower compute costs. ● Expanded into analytics, designing metrics and benchmarking pipelines to ensure model accuracy and speed across deployments. ● Partnered with policy teams to launch literacy campaigns, reaching over 50,000 learners. ● Deployed a ChromaDB/Pinecone retrieval system, reducing query latency from 4 seconds to 1.5 seconds for more than 5,000 daily queries.

● Built and oversaw ML-powered analytics features (forecasting, HR analytics) for clients. ● Built momentum with forecasting dashboards in Tableau and Power BI, cutting reporting time by 50%. ● Elevated impact with HR analytics models in Python, reducing client attrition by 12%. ● Closed with success, scoping and delivering 15+ AI/data products using Agile processes, achieving 30% faster delivery and 95% client satisfaction. ● Built and collaborated on 20+ audio AI projects using Whisper and Wav2Vec2 for speech-to-text and voice cloning, earning 92% client satisfaction. ● Expanded into image generation with Stable Diffusion, GANs, and DreamBooth, producing 5k+ visuals tailored to client needs. ● Refined my approach by analyzing datasets to fine-tune models, improving classification accuracy and performance. ● Ended with mastery, managing 40+ contracts end-to-end, ensuring 100% on-time delivery and alignment with client goals.

● Kicked off my fintech chapter by designing a fraud detection model with scikit-learn and XGBoost, reducing false positives by 60% and securing 10k+ transactions/month. ● Grew my influence with segmentation and recommendation engines, boosting engagement by 30% and transactions by 22%. ● Strengthened analytics capabilities, building Tableau and Power BI dashboards that enhanced decision-making by 35%. ● Wrapped up by aligning AI features with growth roadmaps alongside cofounders, acquiring 2,000+ new monthly active users and embedding KPI tracking into product reporting.