Fullstack Engineer with 1+ years in Django, FastAPI & React
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Passionate Python Full Stack Developer with hands-on experience building scalable, real-world web applications using Django, Django REST Framework, FastAPI, and React. Skilled in REST API development, AI microservices, Docker, Kubernetes, AWS/Azure deployment, and CI/CD pipelines. Worked on projects ranging from rental marketplaces to MLOps observability platforms, integrating payment gateways, cloud services, and real-time features. Currently seeking an entry-level or junior Python developer role where I can grow and make an impact.
PSMO College, Thirurangadi
Bachelor of Business Administration (BBA)
August 1, 2022 – June 30, 2025
Bridgeon Solutions
Python Full Stack Intern
June 1, 2025 – Present
Kozhikode, Kerala, India
OpsSight - Multi-Tenant MLOps Observability Platform
June 1, 2026 – Present
• Architected and delivered OpsSight, a multi-tenant MLOps observability platform using React, Vite, FastAPI, PostgreSQL, SQLAlchemy, Alembic, Docker, and Redis to monitor production ML pipeline runs. • Engineered backend services for data quality validation, schema change detection, drift detection, incident grouping, and pipeline run tracking using FastAPI, Pandas, NumPy, and scikit-learn. • Automated end-to-end ML workflows (Apache Airflow, Celery, Redis, MLflow, LangGraph) for scheduled batch monitoring, remediation, model registry tracking, and candidate promotion; delivered real-time dashboards, WebSocket alerts, Slack/email notifications, AI root-cause analysis, and automated incident reports. • Collaborated in a team using Jira for agile task management, sprint planning, and issue tracking across all project members throughout the development lifecycle. • Designed and deployed cloud-native infrastructure on Azure (Container Apps, ACR, PostgreSQL, Blob Storage) with full CI/CD automation, infrastructure-as-code provisioning, containerized workloads, and observability through Prometheus and Grafana.
RentEase - Rental Marketplace Platform
April 1, 2026 – Present
• Built a full-stack rental marketplace connecting asset owners with renters, featuring listing management, booking workflows, payment settlements, and user verification using Django REST Framework with JWT auth. • Developed a FastAPI AI microservice integrating Groq (LLaMA 3.3) for assistant responses, RAG-based context retrieval via Qdrant Cloud (hosted vector DB), and behaviour-based trust scoring using sentence-transformers. • Integrated Razorpay for payments, AWS S3 for media, AWS SQS for notifications, AWS Lambda for event-driven tasks, Celery + Redis for async processing, and FCM for push notifications. • Built frontend with React 19 + Vite, Zustand, and Tailwind CSS; configured Kubernetes Ingress Controller to route traffic across frontend, backend, and AI service pods. • Containerised all services with Docker Compose; deployed to production via Helm charts on K3s/Kubernetes using AWS EC2 and ECR.
Cultural Fit Analysis
The candidate's project diversity, ranging from a rental marketplace to an MLOps observability platform, indicates adaptability and a broad interest in different problem domains. The use of agile methodologies (Jira) and collaborative team environments suggests a good fit for team-oriented cultures. The continuous learning demonstrated by adopting new technologies (LLaMA 3.3, LangGraph, Qdrant Cloud) aligns with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong project management and collaboration skills through the use of Jira in both professional projects. The detailed descriptions of complex systems suggest good problem-solving and architectural thinking. The experience with multi-tenant platforms and real-time features indicates an ability to handle operational complexities and scalability concerns.