ganeshsingh
Software Engineer
I am Ganesh, a seasoned professional with a deep-rooted background in cryptocurrency, e-commerce strategy, and software development. Since August 2023, I have excelled in retail and algorithmic cryptocurrency trading, where I utilize advanced asset management strategies to optimize key financial performance metrics. I also assisted as a E-Commerce Strategy Advisor for Pudgy Penguins.
I co-host the "RedefineTwenties" podcast, focusing on blockchain technology trends. My technical prowess is further demonstrated through leading innovative AI projects in a Software Engineering Graduate Scheme at Sky and founding ReviewScout, a B2B SaaS that integrates AI into Amazon shopping experiences.
Driven by a passion for innovation and efficiency, I seek remote roles that challenge the status quo and leverage my extensive technical skills and leadership capabilities.
Experience: 1 year
Yearly salary: $48,000
Hourly rate: $0
Nationality: 🇬🇧 United Kingdom
Residency: 🇬🇧 United Kingdom
Experience
podcast co-host and creator
redefine twenties 2024 - 2024
co-created and produced a well-received episode 1 podcast featuring shiv who is a very influential thought leader with over 28000 followers on twitter, focusing on blockchain technology and cryptocurrency trends, enhancing community knowledge and engagement.
global e-commerce strategy advisor
pudgy penguins 2024 - 2024
developed and presented a global e-commerce strategy for pudgy penguins, a leading nft tech startup. created a presentation deck detailing strategies for expanding online distribution, optimizing logistics, and reducing costs. advised on strategic initiatives to boost digital market presence and drive revenue growth.
start-up experience: founder and lead developer
reviewscout (b2b saas) 2023 - 2023
coding experience: created a chat-gpt powered full-stack chrome extension designed to enhance the user experience for amazon sellers and shoppers. integrated advanced deep learning techniques into the chat-gpt model to improve the relevance and accuracy of product recommendations and market insights. problem-solving and market analysis: led an ai-first initiative, leveraging the power of ai to revolutionize the way users interact with amazon, providing context-aware recommendations and insights that enhance user experience. data science to provide data-backed decisions for customers: designed algorithms to analyze sales, pricing data, and customer reviews to provide market insights, competitive analysis, and product validation. team-player: collaborated with a diverse team of computer scientists, product managers, and amazon experts to significantly enhance the user experience on amazon. continuous learning in a fast-paced start-up environment: fostered a culture of continuous learning and improvement, regularly soliciting user feedback and iteratively refining our product to better meet the evolving needs of our users. marketing: successfully grew the user base of reviewscout collecting 4-5 users a day with google analytics, enhancing the amazon experience for many sellers and shoppers
Skills
social-media
strategy
full-stack
english