About Akshara
Embedded AI Engineer | Computer Vision on Edge Devices | Python · PyTorch · C++
Hello! I'm Akshara, an Embedded AI Engineer specialized in deploying computer vision models on edge devices — where most engineers stop at the prototype, I make it run in real-world conditions.
- Background: M.Sc. in Embedded Systems & AI (ESIGELEC, France), followed by a 6-month research internship at CNRS Lab-STICC where I built a real-time underwater fish detection system on Raspberry Pi 5 — achieving 98% accuracy with a 2.6 MB optimized model.
What I can do for you:
Train and fine-tune computer vision models (YOLO, CNN architectures) in PyTorch
Optimize models for edge deployment (ONNX, TensorRT, INT8 quantization, TFLite)
Deploy on constrained hardware: Raspberry Pi, NVIDIA Jetson, ARM Cortex
Build end-to-end CV pipelines in Python and C/C++
- Industries I've worked in: marine biology research, autonomous systems, embedded AI prototyping. Comfortable with full project lifecycle — from dataset preparation to live deployment and on-device validation.
- Based in France, available for on-site missions (Paris / Toulouse / Île-de-France) and full remote across Europe. Working language: English (French: Basic Conversational).
Open to discuss your project — short missions, long-term collaborations, or technical consulting. Rate flexible for missions of 3+ months.
English
Native or bilingual
French
Conversational
Malayalam
Native or bilingual
Hindi
Conversational
Can work on-site
Ivry-sur-Seine (up to 50km)
Experience
- ENIB (École Nationale d'Ingénieurs de Brest) — Unité de recherche Lab-STICCIngénieur IA EmbarquéeMarch 2025 - September 2025 (6 months)Brest, France• • Entraînement d'un pipeline de détection d'objets temps réel (YOLOv11n/s et modèle hybride) en PyTorch sur GPU NVIDIA — mAP@50 de 0,98 via transfer learning en deux phases sur jeu de test spécifique au domaine.• • Optimisation des modèles pour déploiement edge : export ONNX et quantification INT8 TFLite — réduction de ~50% de la taille et accélération de l'inférence sur Raspberry Pi 5 (ARM64).• • Déploiement et validation en direct sur Raspberry Pi 5 avec PiCam ; résolution de problèmes embarqués réels (throttling thermique, intégration driver caméra, compatibilité ARM64).
Recommendations
Be the first to recommend Akshara
Help this freelancer shine by sharing your experience working together.
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- M.Sc. Automotive Embedded SystemsESIGELEC2025Masters Degree
- Bachelors in Electrical & Electronics EngineeringMuthoot Institute of Technology and Science2023B.Tech