Hi, I'm Aakash

Software Engineer with a strong foundation in programming, problem-solving, and system design. Skilled in Python, C++, and Java, with hands-on experience in building scalable Cloud native applications, APIs, Machine learning and data-driven solutions. Comfortable working with databases (NoSQL and SQL), cloud platforms(AWS), and automation tools, and committed to writing clean, reliable, and efficient code that delivers real value.Experienced in implementing CI/CD pipelines using GitLab and containerizing applications with Docker to ensure consistent, reliable, and automated deployments.

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About Me

Software Engineer with expertise in Python development, data engineering, Cloud and scalable system design. Skilled in building RESTful APIs, ETL pipelines, and distributed applications with a focus on performance and reliability. Experienced in implementing CI/CD workflows using GitLab, Jenkins, and Docker, and leveraging AWS for cloud-native deployments. Passionate about delivering secure, maintainable, and high-performance solutions that solve real-world business challenges.

See Resume

My Journey

Education

2022-2025

Bachelor of Computer Applications (BCA)

Delhi Skill and Entrepreneurship University, Delhi

CGPA: 9.5 (D.S.E.U)
2021-2022

High School (PCM with Computer Science)

School Of Excellence, Rohini ND, Delhi

Percentage: 94.3% (C.B.S.E)
2019-2020

Matriculation

Sarvodaya Bal Vidyalaya, Nithari, Delhi

Percentage: 88% (C.B.S.E)

Experience

May. 2025 - Present

Python Developer (iTechMission pvt. ltd. , Delhi)

Developed and deployed scalable FastAPI/Django async microservices, achieving 30% higher throughput through concurrency optimization.Built PySpark + Hudi batch pipelines for distributed processing, improving reliability and reducing latency by 40%.Containerized services using Docker and automated delivery via GitLab CI/CD, cutting release cycles by 50%.Implemented large-scale server-side Python workflows: associations, aggregations, and batch operations on millions of records. Enhanced DB performance via indexing and deployed sharded clusters for high availability.

Jan. 2025 - Apr. 2025

Data Management Intern (Broz Media, Delhi)

Built a high-volume ETL pipeline (Python, Selenium) automating ingestion of 10,000+ records/day.Optimized database queries, improving lead data quality by 25%.Developed an automated data quality framework, reducing manual validation by 90%.

Leadership Roles / Extracurricular Activities

Mar. 2023 - Present

Class Representative

Representing student concerns and facilitate communication with faculties and Higher Departments.

May. 2016 - Jul. 2020

N.G.O Volunteer and Peer Educator

Promoted awareness on health, hygiene, sports, and education while actively supporting social causes to uplift the community.

My Skills

HTML
CSS
JavaScript
Python
Python
Python

Professional Skills

Software Development95%

Machine Learning95%

Data Engineering 90%

Devops 90%

Web Scraping90%

Android App Development 90%

Software Project Management 90%

Cloud Computing 90%

DBMS 90%

Tools & Frameworks

Django Restful APIs Postman Selenium Mongo DB Databricks Jenkins Pyspark Datahudi Git GitLab GitHub Docker Sonarqube JIRA MS Project AWS EC2 AWS S3 AWS IAM AWS-sagemaker Spyder Jupyter Notebook VS Code Android Studio Numpy Pandas Matplotlib Seaborn Sklearn Tkinter

Projects

Credit Card Fraud Detection

Developed an ML model to detect fraudulent transactions using Logistic Regression and Random Forest.

View Project

Amazon SageMaker Price Classification

Built a price range classification model for mobile Phones and deployed it on AWS SageMaker.

View Project

DEVSECOPS CI/CD Pipeline

Automated CI/CD for Python apps with Jenkins, SonarQube, Docker, and Bandit for security scans.

View Project

Sentiment Analysis Model

Classified text sentiments using NLTK and Scikit-learn with visualizations using Matplotlib.

View Project
See More on GitHub

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