Shanmukha Rao Samanthula

Senior Software Engineer

Hyderabad, Telangana, India4 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

Over 3 years of experience in software development.
Expertise in Python, MongoDB, and FastAPI.
Proven track record in data-driven solutions.

Stackforce AI infers this person is a Backend-heavy Fullstack Developer specializing in Data Engineering and Material Science.

Contact

+917729896126 LinkedIn

Skills

Core Skills

Data EngineeringSoftware Development

Other Skills

AI AgentsAPI DevelopmentAgile MethodologiesAgnoAlgorithmsAmazon Web Services (AWS)AnalyticsApache AirflowArchitectural DesignArtificial Intelligence (AI)Azure Data LakeBitbucketCC++Cascading Style Sheets (CSS)

About

As an accomplished software developer specializing in Python, MongoDB, and FastAPI, and with a strong foundation in DevOps practices, I have dedicated myself to the craft of creating scalable and efficient web applications. With a rich background spanning over 3 years in the field, I have cultivated a profound comprehension of software development principles and an aptitude for crafting pristine, easily comprehensible, and extensible code. My passion lies in pushing the boundaries of what technology can achieve, and I am eager to collaborate with like-minded professionals to drive innovation and excellence in the software development realm.

Experience

Zensar technologies

Senior Software Engineer

Apr 2025 – Present · 11 mos · Hyderabad, Telangana, India · On-site

Data Engineering & Analytics

Data EngineeringAnalyticsPythonMongoDBFastAPISoftware Development

Multiscale ai

Software Development Engineer

Oct 2021 – Apr 2025 · 3 yrs 6 mos · Hyderabad, Telangana, India · Hybrid

Spearheading Data-Driven Solutions in Material Science
At Multiscale, I majorly contribute to the development of innovative solutions in the dynamic field of Material Science, focusing on intelligent document processing and robust data infrastructure. My role encompasses:
Workflow Development: Engineered components for efficient workflow management using individual widgets, Celery, and RabbitMQ, and developed a scheduling module leveraging Airflow and Docker for streamlined operations.
Visualization: Designed and developed sophisticated visualization components using Plotly and other supporting modules to provide actionable insights and enhance data interpretation.
Monitoring & Alerting: Implemented and optimized monitoring and alerting systems with Grafana, Prometheus, and ELK stack, ensuring comprehensive system oversight and timely notifications.
Centralized Logging: Designed and built a centralized logging module, configuring Grafana and Kibana for effective log visualization and analysis.
Data Infrastructure: Established a robust backend infrastructure in Python, utilizing Flask API and FastAPI for efficient data handling and integration.
Database Architecture: Architected a MongoDB database tailored to Material Science needs, optimizing data organization and retrieval processes.
Microservices Orchestration: Orchestrated Docker-based microservices with Python, Apache Airflow, RabbitMQ, and FastAPI to enhance scalability and system performance.
Data Extraction: Implemented data extraction from BigQuery through strategic SQL queries, supporting machine learning models, data visualizations (using Plotly and Matplotlib), and other analytical efforts.
I am dedicated to advancing data-driven solutions and optimizing processes in Material Science, leveraging cutting-edge technologies to drive innovation and efficiency.