Atul Keshari

Software Engineer

Indore, Madhya Pradesh, India1 yr 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Implemented WebRTC for real-time notifications.
  • Optimized data retrieval speed by 40% for analytics.
  • Developed a petty cash app for efficient expense management.
Stackforce AI infers this person is a Software Engineer with a focus on SaaS and Fintech solutions.

Contact

Skills

Core Skills

WebrtcReal-time Analytics

Other Skills

AlgorithmsAndroidAndroid DevelopmentAndroid SDKAnsibleApp developmentAutomated Continuous AggregatesBootstrapC (Programming Language)C++Campus PlacementCascading Style Sheets (CSS)Causal InferenceCommunicationCross-platform Development

About

Passionate undergraduate at the National Institute of Technology, Kurukshetra, majoring in Electronics and Communication. Dedicated to driving innovative outcomes through involvement in diverse communities, with a focus on producing clean and maintainable code. Currently delving into various aspects of cross-platform app development and committed to mastering challenging concepts in data structures and algorithms. During my tenure, I've gained hands-on experience in software development, including: Implementing WebRTC and managing data from FCM in a killed state, locally on the socket, to display custom notifications with two action buttons in the Channel App. Engineering automated continuous aggregates to optimize data retrieval speed by 40%, facilitating real-time analytics and reporting capabilities, thereby reducing decision-making lead time by 25%. Developing and deploying a petty cash app designed to streamline expense management for companies and their branches. These experiences have not only honed my technical skills but also instilled in me a deep understanding of the importance of efficient and practical solutions in real-world scenarios.

Experience

1 yr 9 mos
Total Experience
1 yr
Average Tenure
9 mos
Current Experience

Agoda

Software Engineer

Sep 2025Present · 9 mos · Gurugram, Haryana, India · On-site

Amazon

Amazon ML Summer School

Jul 2024Aug 2024 · 1 mo · Remote

  • Gained in-depth knowledge of Supervised Learning, Deep Neural Networks, Dimensionality Reduction,
  • Unsupervised Learning, Sequential Learning, Reinforcement Learning, Generative AI & LLMs, & Causal Inference.
Supervised LearningDeep Neural NetworksDimensionality ReductionUnsupervised LearningSequential LearningReinforcement Learning+3

Training and placement cell, nit kurukshetra

Placement Coordinator

Jun 2024Jun 2025 · 1 yr · Kurukshetra, Haryana, India · On-site

Walkover

Software Development Intern

Jan 2024Mar 2024 · 2 mos · Indore, Madhya Pradesh, India · On-site

  • I implemented WebRTC, handled the data from FCM in the killed state, locally on the socket, and then displayed
  • the custom notification with two action buttons in the Channel App.
  • Engineered automated continuous aggregates that optimized data retrieval speed by 40%, enabling real-time
  • analytics and reporting capabilities, resulting in a 25% decrease in decision-making lead time.
  • I developed and deployed a petty cash app, which serves as an expense manager for companies and their branches.
WebRTCFCMAutomated Continuous AggregatesReal-time AnalyticsPetty Cash App Development

Education

National Institute of Technology, Kurukshetra, Haryana

Bachelor of Technology - BTech

Jan 2021Jun 2025

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