As a Senior Python Developer at Plate IQ, I leverage my 8+ years of software development experience and my Master of Technology degree in Computer Science and Engineering to create innovative and scalable backend solutions for the fintech industry. I specialize in Python, Django, Flask, AWS, Celery, and Docker, and I have a strong background in Computer Science and Machine Learning.
At Plate IQ, I built and executed customized EDI parsers for a diverse client base, contributing to a $2000 increase in MRR. I also spearheaded the implementation of partner integrations and microservice solutions for the Spottabl platform, resulting in improved recruitment efficiency and candidate quality.
I led the design and development of REST APIs for face recognition using Python and Django rest framework, enabling seamless integration for third-party developers, resulting in a 60% reduction in development time and a 20% increase in revenue through partnerships.
Developed and deployed a scalable system that integrated face recognition technology within the IDrive Android and iOS apps, bringing in a drastic improvement in user experience and a 10% increase in app downloads
I enjoy applying my technical skills to solve complex and challenging problems that enhance the user experience and security of our clients. I learnt new technologies and frameworks that can improve the quality and efficiency of our code.
Skills: Python, Django, Flask, Amazon Web Services (AWS), Celery, Docker, Git, Github, MySQL, PostgreSQL, SQL, Linux, Spark, Hadoop
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IDrive Software India Pvt* Architected and developed an internal Generative AI platform to enable secure access to OpenAI models, ensuring compliance and restricted usage for the client.
* Designed and implemented AI-driven document-based and non-document-based conversational systems with robust guardrails for enhanced user experience and safety.
* Created and optimized Jupyter Notebooks to support hackathon teams in leveraging generative AI tools, driving innovation and collaboration.
* Led the project to add templates at vendor and vendor group level, mapping out the flow and executing the implementation flawlessly
* Architected and executed customized EDI parsers for diverse clients
* Spearheaded the implementation of partner integrations, including Workable and Lever using Typescript and NestJS
* Architected and implemented a robust microservice solution using Python and Google Pub/Sub to integrate ATS, enhancing overall recruitment efficiency
* Built IDrive facial recognition APIs(face detection, comparison, and grouping) which third parties can use to implement facial recognition capabilities in their apps.
* Built a Face Recognition model using Convolution neural networks and deployed as a service in IDrive Android and IOS apps(people component). The backend APIs were built using python and Flask.