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AS

Armaan Siddiqui

Open to work0 years experience

Full-Stack Software Engineer

Moradabad, UPTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Full-Stack Software Engineer and Machine Learning Practitioner

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

48 skills
pythonjavascriptcc++sqldsacomputer networksoperating systemsdbmsreact.jsnode.jsexpress.jsflasknginxrest apistailwind csshtml5css3ragscikit-learnkerastensorflowcnnannrandom forestxgboostsvmnumpypandasmatplotlibseabornstatistical modelingfeature engineeringpower biawsgcpmongodbmysqlfirebasems sql serverci/cd pipelinesdockergitpostmanwebpackjestverceljupyter notebook

Work Experience

Software Development Engineer Intern

GoZoom Technologies

Jul 2025 - Apr 2026 Remote
  • Migrated client-side logic to the backend and optimised MongoDB aggregation with pagination, achieving a 30–40% improvement in system performance.
  • Delivered 5+ end-to-end full-stack web and mobile applications for international clients, independently managing requirements gathering, development with React.js and Node.js, and AWS deployment.

Projects

CODE++

ReactNode.jsMongoDBJudge0 APISocket.io
  • Competitive DSA platform with a multilingual code execution engine; built 1v1 competition mode and real-time leaderboards via WebSockets.
  • Optimised analytics dashboards tracking performance metrics across 500+ LeetCode-style problems; actively used by college peers.

Safely Hands [Live]

MERN StackAWS EC2NginxCertbot
  • Architected a service-aggregator platform for domestic care; engineered dynamic service catalogs and automated lead-capture pipelines.
  • Managed production deployment on AWS with SSL encryption, ensuring high availability for real-time service booking.

Crop Wizard

PythonFlaskScikit-learnReactMongoDB
  • Integrated a ML microservice into a MERN app for real-time crop predictions via REST API.
  • Ensemble classifier (Random Forest, XGBoost) reaching 96% accuracy; optimised pickle size for cloud deployment.

RADMIC

PythonTensorFlowKerasCNNScipy
  • Dual-stream CNN classifying drones vs. birds from radar micro-Doppler spectrograms; achieved 94%+ validation accuracy.
  • Custom data generators for real-time stream processing; model exported in HDF5 for low-latency inference.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

GATE 2025 AIR 4358

GATE 2025 – AIR 4358 (Data Science & AI)

TCS NQT IT 2026

TCS NQT IT 2026: 85.62% Overall (94% Coding)

Turbo AI Challenge AKTU

Turbo AI Challenge AKTU, (2024): Zonal Winner & State-level Finalist

Softpro Internship A+ Grade

Softpro Internship (2025): A+ Grade (Python/DS)

About Details

Professional Bio

Full-Stack Software Engineer and Machine Learning Practitioner. Built production systems serving real clients on AWS and engineered ML models at 94–96% accuracy. GATE 2025 AIR 4358 (Data Science & AI) qualifier.

B.Tech in Computer Science in Computer Science

Dr. A.P .J. Abdul Kalam T echnical University (2022 - 2026)

Languages: English, Hindi
Email: Locked