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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.