Python Developer for AI/ML on AWS

Manisha P

Python Developer (AWS/AI/ML/GenAI)

Email: ************@*****.***

Phone: 614-***-****

PROFESSIONAL SUMMARY

I have around 6+ years of experience in designing, developing, testing and implementing of various stand-alone and client-server architecture based enterprise application software in Python.

Well-versed in backend development, API integration, automation, data processing, and cloud deployments.

Significant experience in Python frameworks such as Django, Flask, and FastAPI, with strong knowledge of RESTful API development, object-oriented programming, and asynchronous processing.

Strong experience with NumPy, SciPy, Matplotlib, SQLAlchemy, HTTPLib2, Urllib2, Beautiful Soup and Pandas python libraries during development lifecycle.

Good experience working on Amazon Web Services (AWS) Cloud Services such as EC2, EBS, S3, VPC, Lambda, CloudWatch, Autoscaling, Elastic Load Balancer, SNS, SQS, IAM and RDS.

Strong background in Machine Learning, Deep Learning, and Generative AI, with practical experience designing, training, and deploying models using frameworks like TensorFlow, PyTorch, Scikit-learn, and Hugging Face.

Proficient in implementing LLM-powered solutions, prompt engineering, and building AI-driven applications leveraging OpenAI, LangChain, and vector databases.

Good understanding of NLP, computer vision, retrieval-augmented generation (RAG), and fine-tuning LLMs for domain-specific tasks.

Experience in AI/ML lifecycle including data pre-processing, feature engineering, model development, evaluation, and deployment.

Expertise in development of web-based applications using HTML5, CSS3, Ajax, Bootstrap, Angular 15/13/11/9/7/5, JavaScript, Typescript, NodeJS, JSON and jQuery.

Proficient in writing SQL Queries, Stored Procedures, Triggers, Cursors and Functions in MySQL, SQLite and PostgreSQL database and NOSQL MongoDB and Redis.

Hands on experience working with Version Control Systems like Git, GitHub and GitLab.

Adept at integrating AI/ML models into production systems using FastAPI, Docker, Kubernetes, and CI/CD workflows.

Proficient with CI/CD pipelines, Docker, Kubernetes, and Jenkins, GitHub Actions and Agile methodologies.

Skilled in building frameworks and automating complex workflows using Python for Test Automation using PyTest, Robot Framework and PyUnit.

Good experience in using defect tracking/issue tracking/bug tracking tools like Jira.

TECHNICAL SKILLS

Languages

Python 3.8/3.7/3.6, Shell Scripting, XML, SQL, JavaScript

Web Technologies

HTML5, CSS3, Ajax, Bootstrap, JavaScript, Angular 15/13/11/9/7/5, Typescript, NodeJS, JSON, jQuery

Frameworks

Django, Flask, FastAPI, Pyramid, TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI, LangChain

Libraries

NumPy, SciPy, Matplotlib, SQLAlchemy, HTTPLib2, Urllib2, Beautiful Soup, Pandas

Cloud Technologies

Amazon Web Services (AWS)

Version Control Tools

Git, GitHub, GitLab, SVN

Build Tools/CI-CD Tools

Maven, Jenkins

Databases

MongoDB, Oracle, MySQL, PostgreSQL, SQLite, Redis

Operating Systems

Windows, Linux, Unix, MacOS

Application/Web Servers

Apache Tomcat, WebSphere, WebLogic, Apache Server, Nginx

IDEs

PyCharm, Eclipse, Sublime Text and Notepad++

Testing Frameworks

PyTest, Robot Framework, PyUnit

Bug Tracking Tools

Jira, Confluence

PROFESSIONAL EXPERIENCE

Donnelley Financial Solutions, Chicago, IL August 2024 to till date

Python Developer (GenAI/ML)

Responsibilities:

Responsible for designing application system requirements and coded back-end and front-end in Django/Python.

Developed and maintained RESTful APIs using Django and FastAPI for high-traffic web applications.

Designed, developed, and deployed machine learning models using Scikit-learn, TensorFlow, and PyTorch to solve classification, regression, and prediction problems.

Built end-to-end ML pipelines, including data ingestion, pre-processing, feature engineering, model training, evaluation, and monitoring.

Implemented NLP solutions such as text classification, entity extraction, sentiment analysis, and semantic similarity models.

Developed LLM-powered applications using OpenAI, Hugging Face Transformers, and LangChain.

Built RAG (Retrieval-Augmented Generation) systems using vector databases (FAISS, Pinecone, Chroma) to enhance accuracy and domain specificity.

Developed and deployed robust serverless solutions using AWS Lambda, API Gateway, and DynamoDB, improving system scalability and reducing operational overhead.

Developed and optimized RESTful APIs and microservices on AWS Lambda, ECS, and EC2.

Implemented event-driven architectures leveraging SQS, SNS, EventBridge, and Lambda triggers to streamline asynchronous workflows and increase system responsiveness.

Built scalable, automated ETL/ELT pipelines using AWS Glue, Step Functions, and S3, significantly improving data processing efficiency and reliability.

Managed and optimized large-scale structured and unstructured datasets across S3, RDS, DynamoDB, and Redshift.

Developed Python-based data processing logic using AWS Glue Jobs, Lambda, or EMR (PySpark).

Responsible for writing Python utilities and scripts to automate tasks in AWS using Boto3 and AWS SDK.

Built Single Page Applications (SPA), Responsive Web Design (RWD) UI, Rich Restful Service Applications, using Angular 13/15. Utilized data binding in Angular 15 to create dynamic relationship between templates and Typescript logic.

Created very secure login/registration application using Django Auth package and securing on front end using proper Restful Services. Stored and consolidated the data in MongoDB using PyMongo.

Designed and implemented Continuous Integration and Continuous Deployment (CI/CD) frameworks from code to deploy using Jenkins.

Used Git version control system for collaborating with teammates and maintaining code versions.

Used GitHub for Python source code version control, Jenkins for automating the build Docker containers.

Performed unit testing, functional testing and API testing using PyTest and Robot Framework.

Responsible for debugging the applications monitored on JIRA using Agile methodology.

Environment: Python 3.8, Django, FastAPI, Urllib2, NumPy, Pandas, Beautifulsoup, Scikit-learn, TensorFlow, PyTorch, OpenAI, Hugging Face Transformers, LangChain, Amazon Web Services (AWS), Boto3, PyQt, Angular 13/15, PyQuery, HTML5, CSS3, Ajax, Tomcat, Rest, PySpark, MongoDB, GIT, GitHub, Jenkins, Docker, PostgreSQL, PyTest, Robot Framework, Jira, Agile

Chamberlain Group, Oak Brook, IL January 2022 to July 2024

Python Developer

Responsibilities:

Developed Python and Django for backend development, front-end application using Angular and PostgreSQL for the database.

Developed programs by using Python Boto3 SDK to implement security related tasks by using AWS Cognito service.

Developed ETL workflows using Pandas, NumPy, and PySpark for data cleaning, transformations, and aggregations.

Optimized Python Lambda functions for performance, cold starts, memory usage, and scalability.

Developed Microservices by creating REST APIs and used them to access data from different suppliers and to gather network traffic data from servers.

Written and optimized ETL scripts in Python using PySpark on AWS Glue and EMR.

Worked with AWS database services such as RDS (PostgreSQL/MySQL), DynamoDB, and Elasticsearch/OpenSearch.

Responsible for implementing caching using ElastiCache (Redis/Memcached).

Responsible for developing impressive UI using HTML, jQuery, CSS, Angular 9/11 and Bootstrap.

Utilized PyQt to provide GUI for the user to create, modify and view reports based on client data. Used PyQuery for selecting DOM elements when parsing HTML.

Developed functions and features and integrated the APIs in Angular 9.

Created an AWS Lambda architecture to monitor AWS S3 Buckets and triggers for processing source data.

Used GitHub for version control and added support for Amazon AWS S3 and RDS to host static/media files and the database into Amazon Cloud.

Created REST architecture with token-based authentication and authorization and for consumers.

Successfully migrated the Django database from SQLite to MySQL to PostgreSQL with complete data integrity.

Collaborated within a team using an agile development workflow and widely-accepted collaboration practices using Git.

Built alert and monitoring scripts for applications and servers using Python & Shell Scripting.

Installed and configured the Jenkins, Jenkins’s plugins, job setup, pipeline and delivery pipeline views and build automation using Jenkins’s server.

Utilized PyTest for unit testing all Python applications and used Django Database API's to access database objects.

Used JIRA for bug tracking and issue tracking and used Agile Methodology and SCRUM Process.

Environment: Python 3.7, Django, NumPy, Pandas, PySpark, Amazon Web Services (AWS), Boto3, PyQt, PyQuery, HTML5, CSS3, Angular 9/11, JQuery, Ajax, Apache Tomcat Server, MySQL, PostgreSQL, Shell Scripting, Jenkins, GIT, GitHub, PyUnit, Jira

Zapier, San Francisco, CA Aug 2019 to December 2021

Python Developer

Responsibilities:

Developed, enhanced, and maintained backend services and REST APIs using Python and frameworks like Flask.

Used Angular Routing Module to implement routing, and role-based routing for Single Page Application.

Used Angular Services for consuming REST API using HTTP/AJAX libraries.

Wrote Python scripts to parse XML documents and load the data in database and developed web - based applications using Python, CSS and HTML.

Worked on front end frameworks like CSS and Bootstrap for development of simple web applications.

Deployed Python applications on AWS (EC2, Lambda), improving system reliability and reducing deployment time.

Enhanced existing Python/Django modules to produce required data formats, increasing data accuracy and downstream system compatibility.

Created insightful business dashboards and visualizations using Matplotlib, enabling data-driven decision-making.

Designed and optimized SQL queries and Stored Procedures, improving database performance.

Developed Python-based ETL merge jobs to extract, transform, and load data into PostgreSQL, improving data processing efficiency.

Built secure and efficient RESTful web services in Python using JSON, enhancing application functionality and integration capabilities.

Extensively used XML and RESTful Web Services to retrieve and send data from different applications.

Developed PL/SQL programming that included writing views, stored procedures, packages, functions and database triggers. Used PyCharm IDE tool to develop the application

Prepared standard reports, charts, graphs, and tables from a structured data source by querying data repositories using Python, SQL and Advanced Excel.

Performed unit testing and developed the unit test cases using PyUnit framework.

Used Jira (software development tool) for planning, tracking and reporting daily as well as monthly goals.

Responsible for debugging and troubleshooting embedded application to improve performance.

Environment: Python 3.6, Flask, Django, urllib2, Beautifulsoup, AWS, HTML5, CSS3, Ajax, Angular 5/7, XML, JSON, Restful Web Services, SQL, MySQL, Apache Tomcat Server, Excel, PyUnit, Jira

EDUCATION

Bachelors in Computer Application, LA Grandee International College, Pokhara, Nepal

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