Garvit Jain

Software Engineer

Mandi, Himachal Pradesh, India4 yrs 7 mos experience

Highly Stable

Key Highlights

Expert in Site Reliability Engineering and Kubernetes.
Developed AI-driven solutions for supply chain optimization.
Strong background in teaching and mentoring in technical subjects.

Stackforce AI infers this person is a SaaS-focused engineer with expertise in reliability and machine learning.

Contact

Skills

Core Skills

Site Reliability EngineeringAlgorithm DesignMachine LearningData Structures

Other Skills

AWSAlgorithmsC++CommunicationComputer VisionData ScienceDatadogDeep LearningEngineeringEnglishFinanceGitLab CI/CDGoKubernetesKyverno

About

Hi, Garvit this side — a passionate Computer Science geek driven by curiosity, continuous learning, and a desire to create meaningful impact. As an engineer, I bring together technical skills with a strong sense of collaboration, ownership, and adaptability. Whether it’s building scalable backend systems, experimenting with machine learning, or optimising infrastructure, I enjoy solving real-world problems that make life easier for users and developers alike. I believe in clear communication, empathetic leadership, and staying open to diverse perspectives. With a mindset geared toward growth, I’m always eager to explore new ideas, learn from others, and contribute wherever I can. Let’s connect and explore the possibilities at the intersection of technology, innovation, and purpose. Feel free to reach out — always happy to chat!

Experience

Dezerv

Software Engineer

Jun 2025 – Present · 9 mos · Bengaluru, Karnataka, India · On-site

Indian institute of technology, mandi

6 roles

Teaching Assistant Programming and Data Structures

Jan 2025 – Jun 2025 · 5 mos

Assisted in evaluating and doubt-solving in the Programming and Data Structure(IC-253) course.

Teaching Assistant Probability and Staitastics

Jan 2025 – Jun 2025 · 5 mos

Assisted in evaluating and doubt-solving in the Probability and Statistics(IC252) course.

Teaching Assistant Design of Algorithm

Feb 2024 – Jun 2024 · 4 mos

Assisted in evaluating and doubt-solving in the Design of Algorithms(CS212) course.

Teaching Assistant Machine Learning

Aug 2023 – Dec 2023 · 4 mos

Assisted in evaluating and doubt-solving in Machine Learning (IC-272) course.

Algorithm DesignC++

Teaching Assistant Data Structures and Algorithms

Feb 2023 – May 2023 · 3 mos

Assisted in evaluating and doubt-solving in Data Structures and Algorithms (Cs202) course.

Python (Programming Language)Machine Learning

Student

Aug 2021 – Jun 2025 · 3 yrs 10 mos

Yum! digital & tech india

Site Reliability Engineer

Jan 2025 – Jun 2025 · 5 mos · Gurugram, Haryana, India · Hybrid

As part of the Platform Engineering team, I focused on enhancing developer experience and platform reliability. My work focused on developing internal tooling, automation, and self-service capabilities within our Internal Developer Portal (IDP).
Self-Service Platform Development
Built Go-based tools using concurrency patterns to streamline workflow execution.
Designed and implemented “Cron as a Service” using Temporal and Port, enabling declarative job scheduling.
Integrated Slack alerting and execution tracking to increase workflow visibility within the IDP.
Infrastructure Automation
Enforced security and compliance by applying policy-as-code (Kyverno & OPA) across 100+ Kubernetes namespaces.
Automated GitLab pipelines for Terraform-driven infrastructure provisioning and configuration.
Observability & Reliability
Centralised observability by managing AWS and Kubernetes exporters through our IDP.
Improved operational transparency—from K8S workloads in Lens to internal workflows in the developer portal.
🛠️ Technologies & Tools
Kubernetes • Terraform • AWS • GitLab CI/CD • Port • Temporal • Go (Concurrency)
FluxCD (GitOps) • Kyverno • OPA • Istio • Datadog • Slack API

KubernetesSite Reliability Engineering

Ascendion

Machine Learning Engineer

Nov 2023 – Mar 2024 · 4 mos · Remote

Developed a next-generation LLM-powered chatbot optimizing supply chain and inventory management.
Leveraged Python, Azure cloud services NLP APIs to deliver AI-driven insights.
Implemented robust backend solutions with vector databases and concurrent algorithms, achieving a significant reduction in response latency.
Demonstrated mastery in OOPS principles for well-structured, maintainable code.
Worked with various Azure resources for seamless integration and deployment.

Data StructuresAlgorithms