Career Timeline

• →Consistently met warm-calling targets with 2.5 to 3 hours call time per day.
• →Achieved weekly target revenue of ₹1.5L to 2L before pivoting into engineering.

• →Pioneered the development of tailored backend systems and REST APIs using Django Rest Framework (DRF).
• →Crafted web applications tailored to clients' demands, ensuring alignment with expectations.
• →Led a team of four professionals, guiding the design and development of projects across diverse platforms.
• →Personally managed client relationships, gathering feedback for continuous development and quality assurance.
• →Mentored new Django developers, contributing to their professional growth within the company.
• →Conducted interviews, shortlisting candidates aligned with company requirements.
• →Managed cloud deployments on AWS EC2 instances and S3 buckets.
• →Engineered Python scripts integrated with custom AWS IAM service roles to achieve automated EC2 scaling.
• →Integrated Sentry for real-time error tracking and performance monitoring.

Amazon-like healthcare commerce platform: 50k+ customers, 35k+ products, 5+ cities, with wallets, referrals and promo codes.

• →Devoted expertise to the management of GCP resources.
• →Developed REST APIs on Flask, deploying them seamlessly on GCP, establishing CI/CD pipelines utilizing Google Cloud Build and GitHub Actions.
• →Leveraged Terraform for Infrastructure as Code to efficiently manage cloud resources.
• →Implemented event-driven architecture using Google Cloud Pub/Sub for message delivery, integrating with Twilio Voice API to create a scalable, real-time call queue system.
• →Utilized Google Kubernetes Engine (GKE) to deploy and manage containerized applications for multiple client projects and proof-of-concepts.
• →Took advantage of various Google Cloud services, including Cloud Run, Cloud Functions, Cloud SQL, Secret Manager, Pub/Sub, Cloud Storage, Docker and Google Kubernetes Engine for multiple projects and proof of concepts.

Relocated to the heart of India's tech industry to join Fractal and work on production systems at scale.

• →Spearheaded the development and maintenance of backend APIs using Flask and Django for various projects.
• →Designed and maintained responsive front-end components with ReactJS and Redux Toolkit.
• →Created data transformations leveraging Pandas DataFrame to optimize data processing.
• →Collaborated within a dynamic team to design, develop, and deploy scalable, robust microservices meeting client specifications.
• →Contributed to code reviews, testing, debugging, and troubleshooting to ensure the delivery of high-quality solutions.
• →Maintained comprehensive documentation and provided technical support to team members and clients when needed.
• →Orchestrated microservices using Azure Kubernetes Service (AKS) for efficient deployment and horizontal scaling.
• →Utilized PySpark in Azure Databricks for stream processing, fetching high-volume data from SAP databases to optimize data transformations.

• →Independently validating and challenging financial models developed for Risk Management in the Retail domain.
• →Ensuring the accuracy and reliability of financial models used in HSBC's Retail banking.
• →Communicating complex information about models and risks to other departments in the company.
• →Providing guidance and training to interns on Python programming and financial modeling concepts.
• →Reviewing Python code for models, providing feedback and approvals for changes (Pull Requests).

• →Engineer new modules and implement core bug fixes for HVD clusters using Go, including designing new Cadence workflows and modifying Protobuf files.
• →Manage on-call escalations to troubleshoot and debug HVD clusters deployed across AWS and Azure environments.
• →Develop Go/Bash scripts utilizing AWS IAM roles to automate the cleanup of excessive S3 storage and stale IAM resources, optimizing cloud costs.
• →Automate operations and deploy proof-of-concept projects using Terraform and Kubernetes to reduce manual tasks.
• →Monitor infrastructure health and incidents using Datadog; resolve issues promptly.
• →Collaborate with engineering teams to plan and implement infra improvements.
• →Handle customer support tickets; troubleshoot and resolve cluster issues.
• →Conducted interviews (even for Project Managers), shortlisting candidates aligned with company requirements.

• →Built a Next.js web application that converts EPUBs, PDFs, and URLs into audio experiences using AI narration.
• →Implemented natural-sounding Web Speech API with bookmarking and a distraction-free UI.