MACHINE LEARNING
ENGINEER

@ Torque Communications

• Developing an AI-powered organizational communication platform for modeling hierarchical structures, communication relationships, and LLM-based agent interactions.
• Building graph-based communication workflows with relationship-level protocols for information sharing, escalation, and controlled agent-to-agent communication.

@ Nexus Spring of Code

• Built a GitHub API rate-limit status indicator with remaining requests, reset time, color-coded usage status, and low-limit warnings.
• Rewrote the project documentation from scratch, including setup, configuration, project structure, dependencies, and contribution guidelines.

@ Apertre 3.0

• Project Admin for the project 'task' —https://github.com/anikchand461/task
• It is a CLI project written in Go for task management using terminal.

@ Brah.ma

• Developed AI systems leveraging Knowledge Graphs, Context Understanding, and Intelligent Information Retrieval techniques.
• Built and optimized Machine Learning and Deep Learning models for semantic search, contextual reasoning, and information extraction.

@ Numpy

• Finalized deprecations in linalg/fft modules (PR #29909) to enhance type safety for ML workflows.
• Improved library stability for scientific computing and generative models (e.g., GANs) through robust SVD/FFT implementations.

@ LocalStack

• Normalized documentation structure for the "Reproducible ML with Cloud Pods" tutorial by adding Introduction and Testing sections (PR #268).
• Enhanced developer onboarding by improving clarity and consistency in AWS emulation guides.

@ ISTE HIT Student Chapter

• Executed ML pipelines for student projects, boosting model accuracy and applying skills to real-world cases.
• Mentored at BitsNBytes 2025 (ISTE), guiding participants through technical challenges and advanced DSA problem-solving.