Aakash Dhakse
@aakashdhakse
I build production AI systems for computer vision, generative AI, and real-time model deployment.
What I'm looking for
I've built and deployed AI systems at Codesutra AI, including a 22-class pet health image classifier using EfficientNet-B3 and a YOLOv8-based pet disease detection solution. I also developed pet emotion recognition for dogs and cats using MFCC features and fine-tuned Wav2Vec models, integrating GPT-4 for automated analysis and decision support.
Previously at Blucursor, I built computer vision detection and classification models, developed FastAPI APIs for real-time ML serving, and worked on prompt engineering and RAG pipelines. I processed and annotated more than 5,000 dataset samples while contributing across data preparation, training, and deployment.
I enjoy turning AI ideas into practical products, from touchless hand-gesture control with OpenCV and MediaPipe to modular LLM chatbot backends built for scalable future RAG integration.
Experience
Work history, roles, and key accomplishments
AI Engineer
Codesutra AI
Feb 2025 - Present (1 year 6 months)
Developed and deployed AI models for pet health detection, including image classification and emotion recognition. Integrated GPT-4 for automated analysis and decision support.
AI/ML Engineer
Blucursor
Jan 2024 - Feb 2025 (1 year 1 month)
Built and optimized computer vision models, developed FastAPI-based APIs for ML serving, and worked on Generative AI use-cases including RAG pipelines.
Education
Degrees, certifications, and relevant coursework
Malwa Institute of Technology
Bachelor of Technology, Computer Science and Engineering
2021 - 2025
Grade: 7.4 CGPA
Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a CGPA of 7.4.
Little Angel's Convent H.S. School
Higher Secondary Certificate, General Studies
Grade: 89%
Completed Class XII with 89% and Class X with 85.2%.
Availability
Location
Authorized to work in
Job categories
Skills
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