Saikumar Kosinepalli

Software Engineer

Bengaluru, Karnataka, India3 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced processing time from 1 hour to 5 minutes using Apache Airflow.
Expert in REST API design and authentication methods.
Proven track record in optimizing performance and reliability.

Stackforce AI infers this person is a Backend Software Engineer specializing in cloud-native microservices and API development.

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Skills

Core Skills

Python (programming Language)Api DevelopmentMicroservices

Other Skills

Gen aidockerFlaskFastAPIJWTOAuth2Basic AuthPrometheusGrafanaApache AirflowOrganization SkillsprefectnetmikopydanticSystems Design

About

Backend Software Engineer with 2 years of experience building Python-based, cloud-native microservices using FastAPI, Flask, AWS, and Kubernetes. Expert in REST API design, authentication (OAuth2, JWT), and distributed systems. Proven track record in optimizing performance—notably reducing processing time from 1 hour to 5 minutes using Apache Airflow—and taking end-to-end ownership of production systems in telecom and cloud environments.

Experience

3 yrs

Total Experience

2 yrs 9 mos

Average Tenure

3 mos

Current Experience

Hashedin by deloitte

Software Development engineer I

Feb 2026 – Present · 3 mos · Bengaluru · Hybrid

Python (Programming Language)Gen ai

Tata elxsi

2 roles

Software Engineer

May 2023 – Feb 2026 · 2 yrs 9 mos · On-site

Collaborate with a cross-functional team to develop and maintain a high-traffic e-commerce website,
resulting in a 30% increase in user engagement.
Implemented RESTful APIs in Python for efficient data retrieval, enhancing system performance and
scalability.
Conducted code reviews, identified areas for improvement, and mentored junior team members,
ensuring code quality and consistency.
Resolved critical production issues by analyzing and debugging code, minimizing system downtime
and enhancing reliability.
Developed and maintained Python-based microservices in a distributed, cloud-native architecture.
Built Flask and FastAPI microservices exposing secure CRUD APIs to manage artifacts in Nexus
repositories.
Took ownership of two production microservices, including Northbound API service with JWT,
OAuth2, Basic Auth, and role-based authorization.
Worked with event-driven microservices using Kafka for inter-service communication.
Utilized Prometheus for metrics pipelines, processing 1M+ metrics, with Grafana dashboards and
automated remediation based on threshold breaches.
Contributed critical bug fixes to the Open Source MANO (OSM) project, improving stability and
observability.
Replaced legacy services with Apache Airflow and implemented dynamic DAG generation, reducing
metric collection time from 1 hour to under 5 minutes.
Orchestrated network function monitoring and automated alerting via Alertmanager.
Built Python and Bash automation scripts to generate and manipulate large-scale YAML and JSON
configurations.
Created scalable systems using factory design patterns and clean architecture principles.
Achieved 95%+ unit test coverage using Python testing frameworks.