Aiman M

Associate Machine Learning Engineer

Apr 2026 - Present • 3 mos

Associate ML Engineer | Nexpred Solutions | 2026 Building an end-to-end AI Compliance Pipeline for CCTV surveillance, specializing in intoxication detection — my most technically involved ML project to date. - Labeled and annotated pose-based datasets from scratch for behavioral analysis - Researched three behavioral cues (staggered walk, head drop, slumped posture) using YOLOv11s pose estimation - Extracted skeletal keypoints and applied threshold-based gating to isolate high-signal training samples - Trained individual MLP classifiers per cue, then built a probability-based fusion ensemble — boosting accuracy and robustness beyond any single-cue model - Developing an age classification module for the same compliance system - Architecting the system for production deployment, not just as a research prototype

AI Intern

Jan 2026 - Jun 2026 • 5 mos

AI Intern | Corvit Networks | 2026 Worked across the full GenAI pipeline — from vectorization and vector databases to fine-tuning and RAG architectures — with hands-on exposure to LLMOps on Google Vertex AI and AWS Bedrock. - Built two chatbots: a real-time Telegram bot powered by GPT-3.5-Turbo, and a RAG-based Medical Chatbot using LangChain, Pinecone, and Groq API for low-latency, grounded responses - Worked hands-on with HuggingFace and OpenAI APIs across the GenAI development lifecycle - Applied CI/CD practices using GitHub Actions to automate build, test, and deployment pipelines for AI applications - Gained practical exposure to LLMOps across two major cloud platforms (Vertex AI, Bedrock) — bridging the gap between experimental LLM work and production deployment