Anas Khan.
a software engineer.
ABOUT
engineer by day with expertise in backend development, complemented by strong Python and Go programming skills.
tinkerer by night, loves breaking things and reverse engineering them. Curious, tech-savvy, and passionate about all things tech.
Languages.
Python
Golang
JavaScript
Backend.
Django
Flask
ExpressJS
Databases.
PostgreSQL
MongoDB
SQLite
EXPERIENCE
FamPay (YC S19)
Aug 2024 - Present
Python
Django
Go
Postgres
AWS
Celery
Docker
Backend Engineer
Developed a scalable data deletion service using Django for regulatory compliance and improved database performance. Currently
developing recharge and payment use cases on TPAP infrastructure with a hexagonal architecture in Golang, enabling in-app P2M
(Pay-to-Merchant) transactions and supporting over 100,000 users.
EXPERIENCE
General Mills
June 2024 - Aug 2024
Python
SQL
Airflow
Rancher
dbt
Google Cloud
BigQuery
Digital and Technology Intern
Under Data Engineering team worked on a commercial data foundation File Data Ingestion project, utilizing BigQuery. Established
standardized procedures for incoming file management via shared mailbox, SFTP, and GCP Buckets. Executed the FDI process with data
quality checks using DBT, integrated into Airflow DAGs with Python and SQL.
EXPERIENCE
Frappe Technologies
Feb 2024 - Apr 2024
June 2023 - Aug 2023
Python
JavaScript
MariaDB
Redis
DevRel
Frappe & ERPNext Socials: Linkedin and Twitter.
SDE Intern
Contributed to open-source Frappe Framework in Python, JavaScript, and MariaDB for flagship ERPNext. Engineered a bash script for MacOS
and (Debian) Linux-based systems, automating package installation, configuration, and Frappe Bench setup. Achieved a 47% reduction in
deployment time with a single-click installation. Architected an inventory module app, leveraging DocTypes to streamline stock tracking
and valuation processes.
EXPERIENCE
MohiteTax
April 2023 - June 2023
Python
Selenium
MongoDB
AWS
EC2
EKS
Lambda
Python Developer Intern
Developed a Python selenium script to automate data collection for 2.7 million+ companies data via MCA Services. Remodeled backend
incorporating over 20 modular functionalities such as OCR, with REST API endpoints. Deployed project on AWS infrastructure, utilizing
Docker on AWS EKS and EC2 instances, resulting in a 65% reduction in data scraping time. AWS Lambda functions for automated scraping
with trigger-based execution.
PROJECTS
CodeClip.
CodeClip is my first full-stack web project, a platform for sharing code snippets with customized URLs, password protection, and a
user-friendly dashboard. Much like GitHub Gists, CodeClip enables users to save, share, and manage their code efficiently. Built using
Flask and the CS50 library, it features a robust backend with secure authentication and dynamic QR code generation. The frontend,
crafted with Bootstrap, ensures a sleek, responsive and functional UI. This project represents a first milestone in my development
journey hence it stays here.
