Nikhil Choubey

Responsibilities

• Engineered the 3D Optimizer System, including product design and backend development with FastAPI.
• Orchestrated Kubernetes infrastructure for enhanced deployment processes.
• Integrated research team's innovations into the product for scalable features.
• Conducted R&D to simplify complex optimization processes for end-user accessibility.
• Led frontend solution development, involving requirements gathering, user interaction analysis, and UX redesign.
• Directed the creation of an interactive Real Estate Inventory System, tailoring solutions to diverse client needs.
• Facilitated pre-sales demonstrations, communicating system capabilities and solutions to prospective clients.

Achievements

• Enhanced deployment processes through Kubernetes infrastructure orchestration.
• Implemented CI/CD pipelines utilizing AWS CodeBuild and ArgoCD for streamlined operations.
• Transformed research team's innovations into scalable product features.
• Significantly reduced optimization times by implementing configurable autoscaling.
• Pioneered the development of a healthcare metaverse with a dedicated team of game developers, focusing on innovative system design.

Responsibilities

• Engineered a robust HTTP requests framework incorporating OAuth and token rotation to bolster inter-service security.
• Orchestrated the migration of EC2 Security Groups to enhance cloud infrastructure protection.
• Innovated instance monitoring through the design of a port scanning system leveraging AWS and GCP pubsub integration.
• Created a bespoke, scalable autoscaling solution tailored to dynamic workload demands.
• Developed and oversaw Jobsystems, a versatile in-house tool for streamlined configuration of Kafka and SQS consumers.
• Led a proficient team in the adoption of JWT authentication and executed a seamless cloud migration strategy.

Achievements

• Bolstered inter-service security with a robust HTTP requests framework incorporating OAuth and token rotation.
• Enhanced cloud infrastructure protection through the orchestrated migration of EC2 Security Groups.
• Leveraged AWS and GCP pubsub integration to innovate instance monitoring with a new port scanning system.
• Tailored a scalable autoscaling solution to dynamic workload demands, enhancing system responsiveness.
• Streamlined the configuration of Kafka and SQS consumers with the development of Jobsystems, a versatile in-house tool.
• Significantly strengthened security and access management by leading the adoption of JWT authentication and executing a cloud migration strategy.

Responsibilities

• Engineered and launched a versatile MVP for a customizable e-commerce chatbot, enhancing customer engagement on digital storefronts.
• Streamlined the integration of human-agent takeover from chatbots through Facebook, alongside in-portal chat management capabilities.
• Automated chatbot generation and deployment workflows utilizing AWS Lex APIs and AWS Lambda for increased efficiency.
• Implemented robust CI/CD pipelines leveraging GitHub and pm2, leading frontend development initiatives.

Achievements

• Launched a versatile MVP for a customizable e-commerce chatbot, significantly enhancing customer engagement on digital storefronts.
• Enhanced chatbot integration with human-agent takeover through Facebook and in-portal chat management capabilities.
• Increased efficiency in chatbot generation and deployment workflows through automation with AWS Lex APIs and AWS Lambda.
• Led the charge in frontend development initiatives by implementing robust CI/CD pipelines leveraging GitHub and pm2.

Responsibilities

• Engineered custom data annotation utilities for advanced video and image processing.
• Designed and trained a cutting-edge deep learning model for precise liquor brand recognition in visual content, enhancing marketing analytics.
• Implemented robust monitoring scripts to guarantee optimal application performance with automated recovery protocols.

Achievements

• Developed custom data annotation utilities, enhancing capabilities in advanced video and image processing.
• Created and deployed a state-of-the-art deep learning model for accurate liquor brand recognition, significantly enhancing marketing analytics.
• Ensured optimal application performance and reliability through the implementation of robust monitoring scripts with automated recovery protocols.

• Engineered advanced features for a mailer system, including a robust rule engine and scheduling capabilities, to automate intricate workflows and elevate operational efficiency.

• Developed specialized modules for streamlined interview scheduling, optimizing the recruitment process.

• Created a bulk admit card generation module, significantly reducing manual effort and increasing administrative efficiency.

• • Spearheaded data migration to Neo4J, engineered cutting-edge algorithms for graph data analytics, and oversaw robust data management processes encompassing retrieval, modeling, and storage.

GPA: 7