OMPRAKASH SAHU

Senior Software Engineer

Bengaluru, Karnataka, India6 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

Reduced procurement efforts by 40% through automation.
Improved order processing latency by 35% with real-time integration.
Engineered scalable APIs enhancing throughput by 25%.

Stackforce AI infers this person is a Backend Software Engineer specializing in AI/ML and cloud solutions for Retail and Healthcare.

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Skills

Core Skills

PythonFastapiLangchainAi/mlDjangoFlask

Other Skills

AWSAWS LambdaAWS Step FunctionsAmazon S3Amazon Web Services (AWS)Apache KafkaArtificial Intelligence (AI)AzureBig DataBootstrapCascading Style Sheets (CSS)Data ScienceDockerElasticsearchGit

About

Senior Software Engineer with over 6 years of experience in building scalable backend systems and distributed architectures. My primary expertise lies in Python and its powerful frameworks like Django, FastAPI, and Flask. I have a proven track record of designing and developing asynchronous APIs, managing real-time data pipelines using Kafka and Docker, and working across diverse domains such as manufacturing tech, CDN platforms, and health insurance. My focus is on creating reliable, maintainable systems and boosting performance through automation and clean architecture. I am proficient across multiple cloud environments, with hands-on experience in AWS, GCP, and Azure. I am passionate about solving complex problems and continuously learning new technologies. Feel free to connect or reach out to me at sahuomm2@outlook.com. Key Technologies: Languages: Python, JavaScript, Golang, SQL (MySQL, PostgreSQL), NoSQL (MongoDB) Technologies & Tools: Django, FastAPI, Flask, PySpark, Kafka, Zookeeper, Elasticsearch, LangChain, GenAI, AWS (EC2, S3, Lambda, DynamoDB), GCP, Azure, Kubernetes, Docker, Helm, CI/CD, Git, Linux

Experience

6 yrs 5 mos

Total Experience

2 yrs 1 mo

Average Tenure

Current Experience

Reliance retail

Senior Software Engineer

May 2024 – Aug 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Designed and delivered key sourcing modules including Order Allocation, Supplier Recommendation, and Order Confirmation, which reduced manual procurement efforts by 40% through smart automation.
Integrated Kafka and REST APIs to enable real-time vendor synchronization, improving order processing latency by 35%.
Developed a GenAl-driven assistant using LangChain to automate fabric sourcing queries and provide vendor insights.
Led system architecture planning (HLD/LLD), conducted regular code reviews, and mentored junior engineers to boost team efficiency and code quality.

Python (Programming Language)FastAPIGoogle Cloud Platform (GCP)DockerMongoDBRedis+8

Micro1

Software Engineer AI/ML

Mar 2024 – May 2024 · 2 mos · United States · Remote

Engaged in a focused, remote role centered on the experimentation and training of various language models for AI-driven applications.
Developed scripts and processes for fine-tuning different large language models (LLMs) to optimize their performance on specialized tasks.
Analyzed and benchmarked the performance of multiple models to identify the most effective architectures and training strategies for specific use cases.

Python (Programming Language)PyTorchTensorFlowHugging Face TransformersLangChainNLP Libraries+3

Zee entertainment enterprises limited

Senior Software Development Engineer

Aug 2022 – Mar 2024 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Developed and maintained core CDN services supporting global content delivery.
Reduced cross-service latency by 30% by identifying and fixing performance bottlenecks and improving API payload efficiency.
Built robust data transformation jobs using PySpark to process and prepare logs and metrics for the internal analytics platform.
Contributed to key architectural decisions and authored comprehensive API documentation.

Python (Programming Language)GolangNode.jsDjangoFlaskMicrosoft Azure+8

Mk corporate solutions

Software Engineer

Dec 2018 – Jul 2022 · 3 yrs 7 mos · Bengaluru, Karnataka, India · On-site

Engineered scalable backend APIs and services for US-based health insurance platforms, enhancing operational throughput by 25%.
Developed critical modules to handle the entire policy lifecycle, including submission, change requests, and cancellations.
Collaborated with cross-functional teams to integrate third-party APIs and Java-based services with the core Python/Django application.
Designed and implemented CI/CD pipelines to fully automate testing, validation, and deployment workflows.

Python (Programming Language)FlaskDjangoPostgreSQLMongoDBApache Kafka+7