I specialize in Agentic Workflows, RAG Pipelines, and LLM Optimization. Currently engineering robust AI solutions at AskTuring.ai.
3+
Years Exp
+45%
Contextual Accuracy
Winner
Google Hackathon
End-to-end pipeline: dataset curation, alignment loops, scalable inference on vLLM, and airtight observability for private deployments.
Custom fine-tunes
LoRA/QLoRA, mixed precision, guardrailed eval gates.
vLLM autoscale
Multi-replica serving with token-bucket QoS and routing.
Full agentic system like ChatGPT. Hover, click, and zoom into every component.
Navigating through complex challenges and delivering impact.
Drag to explore the archive of experiments and products.
Virtual try-on system where users upload their photo and clothing images to visualize how outfits would look, maintaining realistic and consistent appearance.
Transforms one 2D image into an interactive 360° spin with Gemini multimodal.
Prompt normalization system for consistent prompts across LLM families.
Reads commits, drafts release notes, and emails users automatically.
Natural language to ready-to-share memes with smart image selection.
Classifies clots and suggests treatment; thesis project.
Clusters millions of keywords into themes to guide enterprise SEO.
Top-percentile finishes across hackathons and ML contests.
Built MagicSpin 360°: turn a single 2D subject into a seamless, rotatable view using Gemini multimodal with upload, AI-generate, or guided drawing inputs.
Stroke clot-origin classification from whole-slide pathology to guide post-stroke treatment.
Predictive model for selecting perfect candidate for a job description based on resume data.
Inter-university multi-label classifier on heart-sound data for cardiac abnormality detection.
Computer vision system to detect potholes from roadway imagery for safer city planning.
Focus: Artificial Intelligence. Specializing in Deep Learning, Advanced Image Processing, and cutting-edge AI technologies and applications.
Relevant Coursework: Artificial Intelligence, Machine Learning Algorithms, Software Engineering, Robotics, Numerical Analysis & Statistics, Digital Signal Processing & Machine Vision, Automation. Graduated with a thesis on Medical AI.
Core technologies and frameworks I work with.
Coursera (Duke University)
Coursera (DeepLearning.AI)
Coursera (DeepLearning.AI)
I live and breathe technical challenges and always strive to find innovative and effective solutions.
© 2025 Abu Bakar Siddik. All rights reserved.