Skip to content
View sshailabh's full-sized avatar

Block or report sshailabh

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 250 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sshailabh/README.md

Hi there, I'm Shashank Shailabh πŸ‘‹

Typing SVG

πŸš€ About Me

I'm a Senior Software/Machine Learning expert with 4+ years of experience at Adobe, specializing in AI Copilots, Domain-Specific Languages (DSL), and distributed systems. I'm passionate about building intelligent systems that solve real-world problems at scale.

πŸŽ“ Education: Indian Institute of Technology, Kanpur (2017-2021)
πŸ“ Location: Noida, India
πŸ”¬ Research: Published at ACL-IJCNLP 2021 | 2 Patents Filed

🎯 Current Focus

  • πŸ€– Building AI Copilots and intelligent assistants at Adobe
  • πŸ“š Exploring advanced Neural Topic Modeling techniques
  • πŸ”§ Developing Domain-Specific Languages for better developer experience
  • 🌐 Working on scalable distributed systems
  • πŸ“ Maintaining awesome-template-engine - A curated list of template engines

πŸ› οΈ Tech Stack

Python Scala Java JavaScript TensorFlow PyTorch

πŸ“Š GitHub Stats

GitHub Stats GitHub Streak
Top Languages

✍️ Latest Blog Post

Exploring how template engines have evolved beyond web development to become essential tools in AI systems, enabling dynamic prompt construction and sophisticated content generation.

πŸ“š Featured Publications

TAN-NTM: Topic Attention Networks for Neural Topic Modeling

ACL-IJCNLP 2021 | Paper

A novel neural topic modeling approach using topic-aware attention mechanisms for improved document understanding.

Authors: Madhur Panwar, Shashank Shailabh, Milan Aggarwal, Balaji Krishnamurthy

Building Knowledge Graph for NLP Research

SemEval 2021 | Paper

Developed a system for automatically creating knowledge graphs from NLP research papers, extracting contribution sentences and forming semantic triplets using SciBERT and BiLSTM-CRF models.

Authors: Shashank Shailabh, Sajal Chaurasia, Ashutosh Modi

🌟 Featured Projects

A curated list of references for template engines

Language: Python | Stars: 47 | Forks: 2

This repo has system code for SemEval 2021 Task 11.

Language: Jupyter Notebook | Stars: 4 | Forks: 1

πŸ“ˆ Template Engine Insights

Total Template Engines Tracked: 150+
Languages Covered: 20+
Last Updated: 2025-10-02

🀝 Connect With Me

LinkedIn GitHub Email

πŸ’Ό Professional Experience

Senior Software Engineer @ Adobe

Building next-generation AI-powered creative tools

  • πŸš€ Developing AI Copilots for enhanced user productivity
  • πŸ”§ Creating Domain-Specific Languages for better developer experience
  • 🌐 Architecting scalable distributed systems
  • 🧠 Implementing advanced ML models for personalization

🎯 Recent Activity

  • πŸ”¨ Pushed 2 commit(s) to sshailabh/awesome-template-engine - 2025-10-02
  • πŸ”„ Opened PR #25 in sshailabh/awesome-template-engine - 2025-10-02
  • πŸ”¨ Pushed 3 commit(s) to sshailabh/awesome-template-engine - 2025-10-02
  • πŸ”„ Opened PR #24 in sshailabh/awesome-template-engine - 2025-10-02
  • πŸ”„ Opened PR #23 in sshailabh/awesome-template-engine - 2025-10-02

Profile views

⚑ "Building intelligent systems that make a difference"

Pinned Loading

  1. awesome-template-engine awesome-template-engine Public

    A curated list of references for template engines

    Python 47 2

  2. SemEval-2021-Task-11 SemEval-2021-Task-11 Public

    This repo has system code for SemEval 2021 Task 11.

    Jupyter Notebook 4 1