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Shiffi H.
Bio
Challenge-oriented problem solver | Fast and adaptive learner | Strong team collaborator with ownership mindset | Experienced in distributed systems, data engineering, cloud storage, real-time streaming, and backend development
Skills
Python
C++
C
Node.js
.NET
React
PostgreSQL
Kafka
MinIO
MQTT
Docker
CI/CD
FastAPI
Apache Flink
pytest
Bootcamp Project
Sensors - Cloud-based platform for agricultural data management and analytics
Mentored by: Vast Data
Data Science Bootcamp 2025 (Data)
Responsibilities:
Developed a real-time adaptive Sensor Modeling Engine with dynamic baselines, bias correction, seasonal and diurnal pattern learning, and early anomaly detection—significantly improving signal quality and reducing false alerts.
Architected a scalable, high-throughput ingestion pipeline for S3/MinIO using Python, adaptive flow control, and optimized multipart uploads, achieving over 17× throughput improvement.
Implemented a production-grade Flink Writer supporting atomic, low-latency, high-volume writes to PostgreSQL with isolated workers, intelligent retry/timeout logic, and controlled backpressure, ensuring stable performance during database slowdowns.
Built a secure FastAPI-based authentication API implementing JWT with token rotation, hashed service accounts, and strict access control policies.
Implemented automated zone-based analytics to compute real-time statistical metrics (mean, median, min/max, standard deviation, anomaly counts) across field regions. Developed a GPS-driven heatmap engine that interpolates sensor data to visualize environmental conditions ( e.g. soil moisture, temperature, humidity), enabling fast and informed decision-making
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Additional Projects
Projects
2025: Clinice Appointment System
Worked on the backend using C#/.NET Core, developing REST APIs to manage data flows. Implemented scheduling logic and user workflows, and built optimized SQL models and queries. Developed interactive React components for responsive interfaces, and collaborated using Git for version control and team integration.
2025: Kung Fu Chess – Online Chess Platform
Developed Kung Fu Chess, an online chess platform, implementing the core game logic in Python. Enabled real-time gameplay by building WebSocket communication channels between clients and server. Structured the code using Factory, Strategy, and State design patterns for maintainability and flexibility. Deployed the platform with Docker on Linux to ensure scalable and reliable hosting.
English Level
Working Proficiency