Python Backend Developer (FastAPI, IoT)

July-**** - Present

Sept-**** - July-****

Jan-**22 - Apr-2022

July-2019 - Sept-2019

Abhishek Karale

**/*/*, ** *******, Ingale Nagar, Warje Jakat Naka, Pune-52-983******* **********@*****.***

Objective

Seeking a challenging and growth-oriented career where I can utilize my skills and training with the opportunity for professional growth and to excel by contributing towards the achievement of organizational goals. A highly organized and hard-working individual looking for a responsible position to gain practical experience in Software Development. Work for an organization which provides me the opportunity to improve my skills and knowledge to growth along with the organization objective.

Experience

Rurux Technologies

Software Development Engineer II

Developed backend solutions using Python, FastAPI, and Django with robust, scalable architecture for large-scale manufacturing industry.

Implemented multithreading and multiprocessing for parallel task execution, reducing processing time and improving scalability.

Designed and optimized PostgreSQL databases and implemented MQTT for IoT data communication. Built and maintained RESTful APIs for seamless system integration. Used GitHub for version control while contributing to the Convergence product for large-scale production industries.

Worked with InfluxDB, Redis, Celery, PgBouncer, REST APIs, JWT Authentication, OAuth 2.0, and Pytest. Achieved a 99% reduction in Auto-scheduling time (3 min 2 sec) for 500 jobs by optimizing backend algorithms.

Rhythmflows Solutions Pvt Ltd

Associate Software Developer

Contributed to various projects such as Agdi ERP, Reconciliation, Cedge Bank, and CMS, focusing on frontend and backend development and system optimization. Developed and maintained robust, scalable, and efficient backend systems using Python. Built dynamic front-end interfaces with ReactJS and Angular, enhancing user experience and interactivity. Designed and optimized PostgreSQL databases, including complex querying and performance tuning. Collaborated with cross-functional teams to gather requirements, define technical specifications, and plan project milestones.

Implemented RESTful APIs to ensure seamless communication between front-end and back-end systems.

TCR Innovation

Internship

Learned and worked on technologies including Data Science, Machine Learning, Artificial Intelligence, Deep Learning, OpenCV, Python, and Git.

Gained hands-on experience in developing and implementing AI/ML models, image processing tasks, and version control workflows.

SPCL Infotech

Internship

Completed the internship and learned various technologies and languages like Python, JAVA, HTML, CSS and documentations and reports.

2023

2020

Education

PDEA's College Of Engineering, Manjari

Bachelor's

9.02

MIT Polytechnic, Pune

Computer Diploma

8.5

Skills

Python

Django

FastAPI

Angular

Postgresql

OpenCV

Machine Learning

Redis

Celery

Pgbouncer

InfluxDB

Telegraf

Projects

Fake Currency Detection using Deep Learning and Python Developed the Python software using Flask server for deployment. Designing the Android application as an interface for using it on Android smartphones. Student Attendance using Face Detection System

Implemented face detection and recognition features using Python, OpenCV, and Machine Learning algorithms.

Built a system to capture, process, and identify student faces for accurate attendance tracking. Managed student records and attendance data with efficient data handling techniques. MES Convergence

Optimized performance using query optimization, indexing, multithreading, and multiprocessing. Built scalable REST APIs for production tracking, machine data collection, and reporting modules. Integrated InfluxDB for real-time machine and sensor data processing. Implemented Redis and Celery for caching and asynchronous background tasks. Implemented secure APIs using JWT, OAuth 2.0, and token-based authentication. Reconciliation

Developed a Reconciliation System to automate financial data matching and reporting. Built scalable REST APIs for file processing, data validation, reconciliation workflows, and report generation.

Implemented bulk data processing for large transaction files using optimized database operations. Integrated Redis and Celery for asynchronous task execution and background processing. Created automated reports using Pandas, Excel, and PDF generation libraries. Links

GitHub

https://github.com/AbhishekKarale01

Linkedin

https://www.linkedin.com/in/abhishek-karale-3961771b3

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