π Seattle, WA | π MS in Computer Engineering - Information Systems @ Northeastern University | πΌ Ex-Nokia, Ex-Grant Thornton
I'm a passionate Full Stack Software Developer with 3+ years of experience building scalable enterprise applications and AI-powered solutions. Currently pursuing my Master's in Information Systems at Northeastern University, I specialize in creating innovative solutions that bridge technology and business needs.
- π Currently working on AI-powered audit automation platforms and distributed cloud storage solutions
- π± Learning advanced cloud architecture and machine learning techniques
- π‘ Reduced manual search time by 70% with an AI Assistant at Nokia
- π― Reduced deployment failures by 50% through CI/CD automation
- π« Reach me at: singh.m1@northeastern.edu
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Master of Science, Computer Engineering - Information Systems π Seattle, WA | ποΈ Sep 2025 β May 2027 π GPA: 4.0/4.0 Relevant Courses:
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Bachelor of Technology, Computer Science π Uttar Pradesh, India | ποΈ July 2015 β Jun 2019 π GPA: 8.3/10.0 Relevant Courses:
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π Gurgaon, India | ποΈ May 2024 β Aug 2025
- Designed an AI-powered internal assistant using Python, REST APIs, and GPT-based NLP to centralize search across 5,000+ internal documents, reducing information retrieval time by 70% for 50+ engineers.
- Implemented automated CI/CD pipelines with monitoring and rollback strategies across 4 engineering teams, reducing deployment failures by 50%.
- Architected an Apache Kafka-based event reprocessing system for network telemetry pipelines to automatically recover schema/validation failures in thousands of JSON packets, cutting error rates to <1%.
- Authored production design documents and drove cross-team technical alignment across 4 engineering teams, reducing incident rates by 30% and shortening release cycles from 2 weeks to 1 week.
π Noida, India | ποΈ Nov 2022 β May 2024
- Built a full-stack project management platform with React, Python, and PostgreSQL to centralize workflows for 3,000+ projects, cutting operational response time by 35%.
- Developed containerized CI/CD pipelines using Docker, Jenkins, and Git with automated testing and quality gates for 15+ microservices, reducing post-release defects by 60%.
- Optimized high-traffic REST APIs and frontend performance by improving database queries and caching strategies, reducing response times by 20% and supporting 300+ concurrent users.
Tech Stack: Next.js | TypeScript | PostgreSQL | OpenAI | CDN π GitHub Repo
Engineered a distributed cloud storage platform supporting authenticated access, lifecycle tracking, and 5GB+ file uploads with document chat for semantic search.
Key Features:
- π SHA-256 deduplication reducing storage redundancy by 30%
- β‘ OpenAI-powered metadata tagging improving file search speed by 40%
- π File upload, star, and trash management with CDN caching
- ποΈ PostgreSQL with full lifecycle tracking
Tech Stack: React | Spring Boot | Python | HuggingFace T5 | Docker | Kubernetes π GitHub Repo
Production-ready audit automation platform with AI chatbot workflows and compliance automation for audit teams.
Key Features:
- π€ HuggingFace T5 models for risk analysis workflows
- β‘ 70% reduction in manual audit effort through intelligent automation
- π³ Containerized microservices with Docker and Kubernetes for auto-scaling
- π Compliance automation across security standards
Tech Stack: Python | BERT (PyTorch) | TensorFlow | pandas | NumPy π GitHub Repo
End-to-end ML pipeline to analyze 10,000+ job postings and extract in-demand skills, plus a salary prediction service across 15+ roles.
Key Features:
- π― 92% skill extraction accuracy using BERT (PyTorch)
- π° 85% salary prediction accuracy using TensorFlow on real job market data
- π Analyzed 10,000+ job postings for actionable career insights
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const mansi = {
location: "Seattle, WA",
education: "MS in Information Systems @ Northeastern University",
currentlyLearning: ["Advanced Cloud Architecture", "Machine Learning", "System Design"],
lookingFor: "Software Engineering Internship opportunities for Summer 2026",
interests: ["AI/ML", "Cloud Computing", "Full Stack Development", "DevOps"],
funFact: "I reduced deployment failures by 50% and love automating repetitive tasks!"
};βοΈ From Mansi Singh βοΈ

