Amol Grover

Software Engineer

New Delhi, Delhi, India8 yrs 5 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in deep learning and AI technologies.
  • Proven track record in optimizing complex systems.
  • Strong advocate for open-source collaboration.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and cloud technologies.

Contact

Skills

Core Skills

Spring BootApache KafkaDeep LearningMachine LearningLinux KernelCJavaContinuous Integration And Continuous Delivery (ci/cd)PythonFlask

Other Skills

TiDBNLPTensorFlowKerasLinuxParallel ProgrammingIntelliJ Platform Plugin SDKGradleStatic AnalysisDockerMongoDBNeo4jMVCTest Driven DevelopmentMicroservices

About

As a passionate explorer of technology, I thrive on delving into a wide range of areas, from deep learning and AI to cloud computing and distributed systems. I am grateful that my career journey so far has taken me across the programming stack - from application and systems programming, to low-level kernel programming and even further to machine learning and building scalable services. This breadth of experience has equipped me with a unique perspective on solving real-world problems. Being a deeply curious person I'm also fascinated by the cosmos, and captivated by the intricacies of science. My curiosity doesn't stop there - I’m also interested in the philosophical aspects of our world and am always eager to learn and grow. In my professional journey, I’ve made significant contributions at Microsoft and through various past experiences, consistently embracing the opportunity to learn, and apply my learnings on diverse technologies. Across all these experiences, I’ve consistently delivered high-quality results, whether developing innovative solutions or driving key initiatives to success. Beyond work, I’m a strong advocate for open-source, believing in the power of collaboration and community-driven innovation. I love to learn, explore, and push the boundaries of what’s possible, always with a focus on delivering quality and impact. Looking ahead, I’m excited to continue expanding my knowledge and skills, particularly in the areas of distributed computing, cloud technologies, robotics and AI/ML. I aspire to work on groundbreaking projects that challenge the status quo and make a significant impact. My goal is to continue growing as a versatile engineer, contributing to innovations that shape the future, while staying true to my passion for exploration and learning, and being ever curious.

Experience

8 yrs 5 mos
Total Experience
2 yrs 4 mos
Average Tenure
6 yrs 5 mos
Current Experience

Microsoft

4 roles

Software Engineer II

Sep 2023Present · 2 yrs 9 mos

  • Working as part of Azure Network Watcher team to build the next generation of monitoring and diagnostic tools for planet scale networking

Software Engineer

Promoted

Jul 2021Aug 2023 · 2 yrs 1 mo

  • Working as part of Azure Network Watcher team to build the next generation of monitoring and diagnostic tools for planet scale networking

Learn Student Ambassador

Aug 2020May 2021 · 9 mos

  • Learn Student Ambassadors are a global group of campus leaders who are eager to help fellow students, create robust tech communities, and develop technical and career skills for the future.

Student Partner

Sep 2019Jul 2020 · 10 mos

  • Student Partners are a global group of on-campus ambassadors who are eager to help fellow students, lead in their local tech community, and develop technical and career skills for the future.

Zomato

Software Engineer

Jan 2021Jun 2021 · 5 mos · Gurugram, Haryana, India

  • Optimized organization's billing and invoicing processes by extending the invoicing system to handle multiple invoice types
  • Integrated the new invoicing flow with Apache Kafka and TiDB, managing high-scale producer and consumer operations, and developed a Spring Boot API for easy consumption
Spring BootApache KafkaTiDB

Samsung r&d institute india

Software Engineer

May 2020Jul 2020 · 2 mos · Bengaluru, Karnataka, India

  • Analyzed over 30 research papers and cutting-edge techniques to drive the development of a multimodal deep neural network combining generative and classification models for converting typed text into personalized handwriting
  • Achieved 92% accuracy on standalone classifier model and 99% GPU throughput by crafting an efficient training pipeline in TensorFlow, overcoming memory constraints
Deep LearningMachine LearningNLPTensorFlowKerasPython

The linux foundation

Mentee, Linux Kernel Mentorship Program

Jan 2020Mar 2020 · 2 mos · Remote

  • Selected as one of 4 developers as part of Spring 2020 Linux Kernel Mentorship Program - a structured remote learning opportunity to aspiring Linux Kernel developers - to work on RCU (Read-Copy Update) sub-system
  • Collaborated with Linux Kernel hackers and contributed to the Linux kernel by updating documentation, performing formal verification using automata modeling, and fixing core kernel and driver code to avoid corruption of data and eliminate false positives
CLinuxLinux KernelParallel Programming

International organisation of software developers

3 roles

Head Machine Learning

Aug 2019Jul 2020 · 11 mos

Co-Head ML & NLP

Aug 2018Jul 2019 · 11 mos

Member

Aug 2017Jul 2018 · 11 mos

Coala association e.v. (coala.io static analyzer)

Google Summer of Code 2019 Student Developer

May 2019Aug 2019 · 3 mos · All over the world! · Remote

  • Selected as one of 1276 students across 63 countries as a part of 2019 Google Summer of Code – a three-month-long global program by Google focused on bringing more student developers into open source
  • Crafted plugin in Java using IntelliJ Platform SDK, IntelliJ Developer Kit tools and OpenAPI, for IntelliJ IDEs to provide extension over current CLI and delivered a unified experience to developers within IDE
  • Optimized development workflow to reduce human error by automating build process using Gradle and integrating build pipelines from Travis and Appveyor CI
JavaIntelliJ Platform Plugin SDKGradleStatic AnalysisContinuous Integration and Continuous Delivery (CI/CD)

Fable

Back-end Web Engineering Intern

Jun 2018Jul 2018 · 1 mo · New Delhi, India

  • Achieved higher user-satisfaction by implementing CRUD based RESTful web services on a dockerized environment as per MVC design paradigm using Microservice based asynchronous architecture
  • Developed budget and time estimation module of the platform from given class design in Python using Test Driven Development and integrated the Flask web-service with Neo4j and MongoDB
  • Optimized speed, increased scalability and improved developer workflow, by building and deploying services as Docker containers
PythonFlaskDockerMongoDBNeo4jMVC+1

Education

Delhi Technological University (Formerly DCE)

Bachelor of Technology — Computer Engineering

Jan 2017Jan 2021

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