Mr. PRONOY CHOPRA

Pronoy Chopra is a seasoned technologist and innovator with over 15 years of experience in software engineering, solutions architecture, and AI/ML systems development. His professional journey spans a diverse range of sectors including neuroscience, telecom, agriculture technology, and cloud computing. Currently serving as a Senior Solutions Architect in AI/ML at Amazon Web Services, Pronoy has played a pivotal role in securing $400M in business opportunities by leveraging advanced Generative AI platforms. He has built robust, serverless AI tools using Amazon Bedrock and Claude3, contributed significantly to AWS global outreach through conferences and blogs, and holds an AWS Machine Learning Specialty certification. Pronoy’s background as a Principal Software Engineer at Kernel showcases his deep technical expertise in neuroscience and embedded systems. At Kernel, he engineered real-time data acquisition systems, optimized high-performance computing pipelines, and led the development of distributed control and visualization platforms. His ability to bridge hardware and software domains is evident in his contributions to camera integration, neuroscience simulation frameworks, and centralized data infrastructures. Earlier in his career, Pronoy held impactful roles in the telecom sector, contributing to VoIP platforms and custom PBX solutions. His academic roots in electronics and communication engineering laid the foundation for his hands-on experience with embedded systems, AVR/RISC architectures, and control systems. Notably, he is the inventor of a patented wireless mesh network system tailored for agricultural applications and has contributed to the Google Summer of Code program. Pronoy’s resume highlights his multidisciplinary expertise, innovative mindset, and leadership in scaling engineering teams and projects. He has developed numerous backend and frontend systems using technologies like Django, FastAPI, Flask, React, and Rust. His cloud and deployment capabilities span AWS services, Docker, Celery, and other DevOps tools. He also possesses a strong academic background with a Master’s in Electrical & Computer Engineering from the University of Oklahoma, where he worked on image retrieval systems and control automation. Through public speaking engagements, hackathons, open-source contributions, and mentoring, Pronoy continues to impact the broader tech ecosystem. His unique ability to fuse low-level programming with modern cloud-native architecture makes him a rare hybrid engineer capable of solving complex challenges across domains. Pronoy Chopra is a highly accomplished software engineer and solutions architect with over 15 years of diverse experience across software development, AI/ML systems, neuroscience technology, IoT, and cloud computing. Known for bridging low-level embedded systems with cutting-edge cloud-native platforms, Pronoy brings a rare combination of hardware proficiency and software architecture expertise that enables him to tackle some of the most complex challenges in the technology space. Currently serving as a Senior Solutions Architect for AI/ML at Amazon Web Services (AWS), Pronoy has directly influenced over $400 million in business opportunities through his contributions to large-scale AI/ML initiatives. He is credited with building and maintaining internal ChatGPT-like tools using serverless architecture powered by Amazon Bedrock and Claude3 models. His work extends beyond technical implementation—he is a frequent speaker at AWS events like re:Invent and re:Inforce and has authored widely-read technical blogs on Generative AI, IoT, and cybersecurity. Pronoy also holds an AWS Machine Learning Specialty certification and is a core member of the AI/ML and IoT technical communities within AWS. Before joining AWS, Pronoy was the Principal Software Engineer at Kernel, a pioneering neuroscience company focused on developing next-generation brain-computer interfaces. There, he was instrumental in integrating high-speed cameras for neural data capture, optimizing simulation pipelines using AWS and Docker, and creating centralized data infrastructures that cut operational costs by thousands of dollars monthly. His technical leadership led to the creation of a live dashboard in React and Flask for GPU and EC2 monitoring, a neuroscience task-runner using Django and Celery, and the migration of company-wide analysis workflows to JupyterLab, thereby significantly increasing efficiency. Earlier in his career, Pronoy worked in the telecommunications sector at Apeiron Systems, where he contributed to building a Twilio-like Telecom-as-a-Service platform. His responsibilities included working with vendor APIs (e.g., Verizon, AT&T) and debugging complex VoIP and packet drop issues. Pronoy also served as a freelance consultant and product inventor in the agri-tech space, developing mesh network-based smart farming systems and delivering sustainable software solutions for governmental projects in India. His academic background is equally impressive, with an MS in Electrical & Computer Engineering from the University of Oklahoma, where he worked on content-based image retrieval systems and automation tools using Python and LabView. He also holds a Bachelor’s in Electronics & Communication Engineering and has published and patented technologies in areas ranging from wireless networks to AI/ML optimization. Throughout his journey, Pronoy has remained committed to innovation and education—hosting public hacking sessions, mentoring teams, and scaling engineering departments. His technical skill set spans Python, JavaScript, C++, Rust, Flask, Django, AWS, Docker, Celery, PostgreSQL, Redis, and more. He is also experienced in embedded systems programming, scientific computing, and full-stack development. In essence, Pronoy Chopra exemplifies the modern technologist—deeply technical, highly innovative, and capable of navigating and integrating across the full technology stack, from microcontrollers to machine learning APIs.

• AWS
• Docker
• C++
• JavaScript
• Python
• Labview
• PostgreSQL
• NoSQL
• Git
• Nginx
• React Native
• React
• Redis
• Django
• Supervisor
• Supervisor
• Flask
• AWS CDK
• Rust
• Lua
• FastAPI
• Celery
• RabbitMQ
• SQLAlchemy
• JupyterLab
• PyQt
• Typescript
• Psychopy
• Fabric
• Gunicorn
• uWSGI
• AVR/RISC
• LSF
• Electron
• mDNS/Bonjour
• Upstart
• Javascript (React/React-Native)
• Lua
• C++
• Basic Rust
• Django
• Flask
• jQuery
• Memcached
• Celery
• Requests
• Django-Rest-Framework
• Redis
• NoSQL
• DAL/ORM (SQLAlchemy
• Django ORM
• Diesel)
• RabbitMQ
• SVN
• GIT
• upstart
• Avahi
• mDNS/Bonjour
• UFW
• Fabric
• Nginx
• Gunicorn
• uWsgi
• LAMP
• AWS
• low level IoT programming
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