Senior Backend/Cloud Software Engineer with AI focus

Rizwana Shaik

Software Engineer

New Jersey, USA +1-940-***-**** ***********************@*****.*** LinkedIn GitHub PROFESSIONAL SUMMARY

Software Engineer with 4+ years of hands-on engineering experience designing, implementing, and sustaining production- grade backend and cloud-native systems. Strong background in Python (FastAPI, Django, Flask) and JavaScript/TypeScript

(Node.js, Express.js, React.js), focused on building reliable code, web-based interfaces, and RESTful APIs. Experienced across the full software lifecycle, including requirement analysis, system design, architecture decisions, implementation, deployment, configuration, integration, optimization, monitoring, logging, and documentation. Delivered LLM-powered applications using OpenAI APIs and Fireworks (LLaMA 3.3 70B), and worked extensively with AWS, Azure, Docker, Kubernetes orchestration, CI/CD automation, and Infrastructure as Code (Terraform) to sustain scalable and reliable systems.

CORE SKILLS

Programming Languages: HTML, CSS, Python, JavaScript, TypeScript, SQL, Go Frameworks & Libraries: FastAPI, Django, Flask, Node.js, Express.js, React.js Backend & API Engineering: RESTful APIs, Microservices Architecture, Asynchronous Programming, API Versioning, Background Jobs, Backend Optimization

Databases & Data Engineering: PostgreSQL, MongoDB, MySQL, SQLite, Supabase; Schema Design, Query Optimization, Indexing, Transactions

AI / GenAI: OpenAI API, Fireworks (LLaMA 3.3 70B), LLM-powered Applications, Prompt Engineering, Retrieval- Augmented Generation (RAG), ML Model Integration

Cloud & DevOps: AWS (EC2, Lambda, S3, DynamoDB, CloudWatch), Microsoft Azure, Docker, Kubernetes, Jenkins, Terraform, GitHub Actions, CI/CD Pipelines, Infrastructure as Code (IaC) Monitoring & Security: Prometheus, Grafana, Centralized Logging, OAuth 2.0, JWT, Role-Based Access Control (RBAC), Azure Active Directory

Development Practices: System Design, Software Architecture, Data Structures & Algorithms, Networking Fundamentals, Agile/Scrum, Code Reviews, Technical Documentation PROFESSIONAL EXPERIENCE

Integrated Digital Solutions – Software Engineer Edison, NJ, USA Jun 2025 – Present

Led a core backend modernization initiative for an enterprise PSA platform, improving overall platform scalability by around 20% while supporting growing production workloads.

Designed and implemented backend services using Python (FastAPI, Django), translating business and operational requirements into stable, production-ready workflows.

Refactored tightly coupled components into modular backend services, improving system architecture, reducing inter- service dependencies, and making the platform easier to extend and maintain.

Integrated LLM-powered backend features using OpenAI APIs and Fireworks (LLaMA 3.3 70B) to surface natural- language insights, reducing manual data interpretation for business users.

Implemented secure configuration, authentication, and authorization using Azure Active Directory, OAuth 2.0, and RBAC, ensuring controlled access to sensitive enterprise data.

Built web-based interfaces and dashboards using React.js, backed by MongoDB and PostgreSQL, enabling finance and operations teams to track KPIs in real time.

Standardized deployment, orchestration, and automation workflows using Docker, Kubernetes, and Jenkins, improving release consistency and reducing deployment-related issues.

Automated infrastructure provisioning, monitoring, and logging using Terraform and AWS Lambda, improving observability and reducing operational overhead.

University of North Texas – Software Engineer Denton, TX, USA Dec 2024 – May 2025

Built a containerized backend simulation platform for distributed systems labs, reducing environment setup issues by 40% and ensuring consistent behavior across student environments.

Designed and implemented backend services using Python and Flask to demonstrate networking concepts, communication protocols, and distributed system behavior.

Developed REST APIs using FastAPI and MongoDB to capture telemetry, logs, and request flows, enabling structured monitoring, logging, and troubleshooting.

Created reproducible environments using Docker and Kubernetes orchestration, allowing distributed system experiments to run reliably across configurations.

Automated validation, feedback, and documentation workflows using Jenkins pipelines, reducing manual effort while improving consistency and turnaround time.

HCL Technologies – Software Engineer Hyderabad, India Jan 2020 – Jul 2023

Contributed to the modernization and cloud migration of enterprise backend systems, reducing batch-processing latency by 15% while supporting 50K+ monthly API calls in production.

Designed and implemented high-performance RESTful APIs using Python (FastAPI), applying strong data structures and algorithms to ensure predictable performance.

Reworked legacy ERP integrations into FastAPI- and Django-based modules, improving overall system architecture, modularity, and long-term maintainability.

Developed backend integration services using Node.js and Express.js, enabling reliable system-to-system communication over HTTP/REST protocols.

Built web-based dashboards using React.js to surface supply-chain analytics and operational KPIs, supporting faster decision-making.

Implemented CI/CD automation using Jenkins and Terraform, improving deployment consistency and reducing manual release effort.

Integrated MongoDB and PostgreSQL to support transactional and analytical workloads, ensuring reliable data access and reporting.

Applied AI/ML-enabled backend integrations using AWS SageMaker and Python to support forecasting and anomaly detection use cases.

Supported monitoring, logging, and long-term system sustainment through Go-based engineering utilities, improving observability and operational stability.

PROJECTS

Fashion Advisor – Recommendation Platform – React, JavaScript, Python, Scikit-learn, Power BI, AWS QuickSight

Built a backend-driven recommendation system integrating ML inference with application APIs to deliver personalized fashion suggestions.

Implemented REST APIs and backend logic connecting recommendation outputs with web-based interfaces. Weather Forecast Web Application – JavaScript, OpenWeather API

Developed a web-based application backed by external API integration, handling real-time data ingestion, parsing, and error handling.

Implemented response normalization to ensure consistent and reliable data delivery to the UI. Knowledge Copilot (RAG-based Enterprise Search Assistant) – Docker, FastAPI, Next.js, PostgreSQL, Vespa, Redis, MinIO, LLMs

• Deployed and customized an enterprise RAG assistant for document-grounded Q&A with citations.

• Implemented document ingestion and indexing pipelines with embeddings and semantic search.

• Added feedback and evaluation loops to track relevance, latency, and hallucination reduction. An Eye for Sightless – Real-Time Object Detection & Voice Navigation – Python, OpenCV, TensorFlow/PyTorch, COCO, Google TTS

• Built a real-time object detection system with voice alerts for visually impaired users.

• Trained and evaluated detection models, tuning confidence thresholds for performance.

• Designed low-latency inference and alerting logic. EDUCATION

Master of Science in Computer Science

University of North Texas Aug 2023 - May 2025

Bachelor of Technology in Computer Science and Engineering Sreenidhi Institute of Science and Technology Jun 2018 - Jul 2022 CERTIFICATIONS

Azure Data Engineer Associate (DP-203)

Azure Data Fundamentals (DP-900)

Databricks Lakehouse Fundamentals

Snowflake Data Warehousing Essentials

HackerRank: SQL, Python, Problem Solving

NPTEL: DBMS, Java

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