Hrushikesh Patil

Software Engineer

India4 yrs 10 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in Kubernetes and Docker for resilient infrastructure.
Developed NLP models with significant academic contributions.
Proven track record in optimizing system performance.

Stackforce AI infers this person is a skilled Cloud-native Software Engineer with a focus on Infrastructure and AI/ML.

Contact

hrushi2900@gmail.com LinkedIn

Skills

Core Skills

KubernetesDockerNatural Language Processing (nlp)Ai/ml Research

Other Skills

API OptimizationAlgorithmsAmazon Web Services (AWS)Apache KafkaApplication Programming Interfaces (API)Artificial Intelligence (AI)BERTBack-End Web DevelopmentBashC (Programming Language)C++CI/CDCNNCode ReviewComputer Science

About

Cloud-native Software Engineer with a passion for building resilient and automated infrastructure. My core expertise lies in Go, Python, Kubernetes, and Docker, where I have a proven track record of enhancing system performance, implementing robust CI/CD pipelines, and strengthening security with tools like Hashicorp Vault and RBAC. This infrastructure experience is complemented by my background in AI/ML research, where I developed NLP models and co-authored a hate speech detection dataset with 50+ citations, published in the ACL Anthology. I thrive on solving complex problems in distributed systems and am driven to leverage my skills in both infrastructure and AI to build secure, efficient, and intelligent systems.

Experience

4 yrs 10 mos

Total Experience

2 yrs

Average Tenure

10 mos

Current Experience

Nutanix

Member of Technical Staff 3

Aug 2025 – Present · 10 mos · Bengaluru, Karnataka, India

Rakuten symphony

2 roles

Software Engineer

Promoted

Mar 2024 – Aug 2025 · 1 yr 5 mos

Associate Software Engineer

Jul 2022 – Mar 2024 · 1 yr 8 mos

Contributed as a key member of the MDCAP team, specializing in Kubernetes, Docker
Optimized API calls and Postgres queries, resulting in a remarkable 90% reduction in response time
Incorporated Hashicorp Vault in system for better credential management and rotation
Implemented zero-touch process for periodic credential rotation, ensuring secure storage in vault
Designed and implemented an efficient Role-Based Access Control (RBAC) system, creating permissions for CRUD
operations across multiple endpoints, improving security and reducing administrative overhead
Integrated Alembic and SQLAlchemy to streamline installation and upgrade processes, replacing plain SQL files and
significantly improving maintainability and testing efficiency
Implemented CI/CD pipelines to automate deployments and improve release cycles.
Leveraged Multi-Stage Builds and Layer Caching techniques to create optimized Docker images.
Exported application metrics to Prometheus for real-time monitoring and visualization in Grafana
Enhanced the MDCAP CLI, improving usability and efficiency

KubernetesDockerHashicorp VaultPostgresCI/CDPrometheus+3

L3cube

AI Reasearch Intern

Jul 2021 – Jun 2022 · 11 mos · Pune, Maharashtra, India · Remote

Created hate speech recognition dataset in Low Resource Language(Marathi) consisting ~25000 labelled tweets, known as L3Cube-MahaHate dataset, published in ACL Anthology.
Published various hate recognition models using CNN, LSTM and BERT in Marathi and Hindi
Published research and methodology in Hate Speech and Offensive Content Identification(HASOC'22) and Springer Publications.

NLPCNNLSTMBERTHate Speech DetectionNatural Language Processing (NLP)+1