Available to hire
Hi there! I’m Abu Zar Zulfikar, a software engineer and researcher specializing in machine learning, computer vision, LLMs, and robotics. I love building intelligent systems that bridge cutting-edge theory with real-world impact.
I design and ship end-to-end AI pipelines, from data collection to deployment, and collaborate with product and engineering teams to turn prototypes into production-ready solutions. I thrive in cross-functional environments and am constantly exploring new AI approaches to push the boundaries of what’s possible.
Skills
Experience Level
Expert
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Work Experience
AI Software Engineer at Edgec.io
November 1, 2024 - PresentLed design and deployment of production-grade AI systems spanning computer vision and generative AI domains. Built end-to-end pipelines from data collection, preprocessing, model training, evaluation to deployment on cloud. Implemented real-time vision-based detection (object detection, behavior analysis, segmentation) using YOLO, PyTorch, and OpenCV. Integrated Vision-Language Models for scene understanding and structured alert generation. Deployed scalable inference APIs with FastAPI, Docker, and AWS. Collaborated with product and engineering teams to turn AI prototypes into production-ready solutions.
AI Engineer at Stealth Startup
April 1, 2024 - October 1, 2024Developed AI-powered automation systems leveraging LLMs and multimodal AI. Built retrieval-augmented generation (RAG) pipelines for knowledge-based applications. Implemented prompt engineering and fine-tuning strategies (LoRA) to improve response accuracy and reduce hallucinations. Designed backend APIs for AI services and integrated them into production environments. Worked on model evaluation, rate limiting strategies, and scalable AI infrastructure.
Machine Learning Engineer at KASWA.AI
November 1, 2022 - March 1, 2024Developed and trained deep learning models for computer vision tasks including object detection, semantic segmentation, and image classification using YOLO, U-Net, and SegNet. Built end-to-end ML pipelines covering data preprocessing, augmentation, model training, evaluation (mAP, IoU), and performance optimization. Improved model accuracy and generalization through hyperparameter tuning, dataset refinement, and experimentation. Assisted in deploying trained models into production environments and integrating them with real-world applications.
Education
Qualifications
Industry Experience
Software & Internet, Professional Services, Media & Entertainment, Energy & Utilities
Skills
Experience Level
Expert
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Expert
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