Full-Stack Software Engineer - Java/Python/React

HEENA SHAIKH

Software Engineer Full Stack Developer (Java, Python, React.js, Spring Boot, FastAPI) New Delhi, India (open to relocate) +91-995******* ***************@*****.*** https://github.com/HeenaShaikh09 https://www.linkedin.com/in/heenashaikh077/

PROFESSIONAL SUMMARY

MCA graduate (Jamia Hamdard, 9.22 CGPA) who builds and ships — not just studies. One product live in production: a 24/7 mosque prayer display serving a real community daily. Full-stack across Java/Spring Boot, Python/FastAPI, and React/Next.js; built an AI-integrated healthcare platform as MCA final-year project; published ML researcher (Western Sydney University, 2025). Writes secure, scalable code from day one — JWT, RBAC, Row-Level Security, offline-first Android. Looking for a software engineering role where real ownership matters. TECHNICAL SKILLS

• Languages: Java, Python, JavaScript, TypeScript, SQL

• Backend: Spring Boot, Spring MVC, FastAPI, Django (exposure), REST APIs, Microservices, JWT Authentication

• Frontend: React.js, Next.js, Tailwind CSS, HTML5, CSS3, Bootstrap, GSAP (animation)

• AI / Applied ML: Scikit-learn, Pandas, NumPy, Explainable AI (XAI), LLM/AI API Integration, Prompt Engineering

• Databases: PostgreSQL (Supabase), MySQL

• Security & Access Control: RBAC, Row-Level Security (RLS), JWT-based Auth, Secure-by-Design Architecture

• CS Fundamentals: DSA, OOP, DBMS, Operating Systems, Computer Networks, Agile

• Tools & Platforms: Git, GitHub, Docker (basic), Postman, Vercel EXPERIENCE

Freelance Full Stack / Python Developer — Upwork (Enterprise Client) June 2026 Client Rating: 5.0 / 5.0

• Selected as a Python developer participant in a Microsoft Research study (via Upwork) on AI-assisted developer productivity, completing structured coding tasks involving Django and Scikit-learn/ML frameworks with and without AI copilot assistance inside a cloud-based VS Code (Dev Box) environment under time-tracked, accuracy-based evaluation; completed engagement with a 5.0/5.0 client rating. KEY PROJECTS

MedVision AI — AI-Integrated Healthcare Intelligence Platform React, Next.js, TypeScript, Spring Boot, FastAPI, Scikit-learn, PostgreSQL

• Built a full-stack healthcare platform as MCA final-year project, integrating a Scikit-learn ML model for real-time patient risk prediction with an Explainable AI (XAI) layer surfacing model reasoning to end users.

• Designed a microservices architecture with optimized REST APIs across multi-role workflows (patients, doctors, admins); implemented JWT authentication, RBAC, and PostgreSQL (Supabase) Row-Level Security for secure multi-user access.

• Shipped real-time notifications, NLP-driven voice appointment booking, and analytics dashboards for clinical decision support, end to end as a solo developer.

Chronos — Offline Prayer Times Display for Mosque TV (Deployed) Kotlin, Android Studio, WebView, HTML5, CSS3, JavaScript, Canvas API, Google TV, JSON

• Sole developer of a fully offline Android TV app (Kotlin + WebView) deployed 24/7 on a mosque's Google TV display, replacing commercial signage solutions costing 50,000+; in continuous daily production use since June 2026 serving the local community.

• Engineered a pixel-perfect real-time UI using HTML5 Canvas (analog clock), CSS Grid, and vanilla JavaScript with Hijri calendar algorithm

(Maghrib-based Islamic day flip), animated prayer countdowns, and an Imam Control Panel with PIN-protected time overrides stored in localStorage — all running entirely offline.

• Implemented auto-boot recovery (Android BroadcastReceiver on BOOT_COMPLETED), FLAG_KEEP_SCREEN_ON, and immersive fullscreen mode for zero-downtime 24/7 TV operation; integrated optional NTP time sync and Hijri API offset calibration for long-term offline accuracy.

AI Coding Agent — Framework-Free Agentic System with Grounded Verification Python, Docker, OpenAI-Compatible LLM APIs (Ollama, Groq)

• Built an autonomous coding agent from scratch (no LangChain/CrewAI) that writes, executes, and self-corrects Python code inside an isolated Docker container (network-disabled, memory-capped); implemented grounded task-completion verification that independently checks captured stdout before accepting the agent's self-declared success, catching false-positive completions. PUBLICATIONS

Machine Learning for Securing Healthcare IoT Systems: A Review and Risk Mitigation Approaches I2OR — Interdisciplinary Research for Sustainable Development (IRSD), Vol. 1, pp. 47-50, Dec 2025. Published with Western Sydney University, Australia. Reviewed ML/deep learning approaches for Healthcare IoT security. EDUCATION

MCA — Jamia Hamdard University, New Delhi CGPA: 9.22/10 2026 BCA — Indira Gandhi National Open University CGPA: 7.13/10 2024 CERTIFICATIONS

Machine Learning with Python — IBM Cognitive Class (Nov 2025) • Python Essentials 1 — Cisco Networking Academy • Cybersecurity Fundamentals — IBM SkillsBuild • Data Science Training — Internshala

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