A Kumar

Offer A work on your next project.

Japan

7 months 26 days back

available for hire

on the service 8 months 26 days

Rating

Successful projects

Average rating

Rating

Python

2340 place out of 4457

AI & Machine Learning

1130 place out of 2836

CV

Full Stack Engineer with 9+ years of experience in data engineering, backend, and full-stack development across large-scale systems. Skilled in building robust data pipelines, analytics platforms, predictive applications, and client-facing portals, with a proven track record of enabling business growth for mid- to large-sized organizations.

Proficient in Python, Java, SQL, Node.js, Ruby, React.js, Vue.js, and cloud platforms (AWS, GCP, Kubernetes, Docker). Strong expertise in data engineering tools such as Airflow, Spark, dbt, Informatica, and modern AI frameworks (OpenAI, LangChain, Anthropic). Adept at integrating analytics into business systems with visualization tools including Looker, Tableau, and Metabase.

Led the design of big data pipelines processing 20TB/day, developed real-time pricing models, and built AI-powered client portals. Engineered scalable ETL pipelines, optimized data models, and delivered KPI dashboards, achieving significant cost and runtime reductions. Previous roles involved modernizing pipelines, reducing cloud costs, automating processes, and delivering large-scale APIs and CRM platforms.

Holds a Bachelor of Engineering in Computer Science and certifications in Generative AI. Bilingual in English and Japanese.

Skills and abilities

Programming

Services

Translation

English

19 000 USD
Custom development of a statistical analysis model framework

Python

Led the custom development of a statistical analysis model framework designed to support real-time property pricing. Integrated a global pricing model into the Japanese market by incorporating market-specific attributes, region-level corrections, and adjustments for various asset types.

Key Contributions:

… Developed and implemented the statistical model framework to provide accurate, real-time property valuations.

Enhanced the global pricing model with localized adjustments for Japan, ensuring relevance for different property types and regions.

Built interactive visualizations using Python libraries including GeoPandas, Folium, and Shapely to enable spatial analysis of properties and areas of interest.

Integrated Google Maps APIs to support deep geospatial insights and user-friendly visual representation of data.

Streamlined the workflow for property analysis and pricing decision-making through automated data processing and mapping tools.

Technologies Used: Python, GeoPandas, Folium, Shapely, Google Maps API, Pandas, NumPy, Matplotlib/Seaborn
23 000 USD
Custom analytics and API services

Python

- Developed custom analytics and API services using FastAPI (Python) and Nest.js (Node.js) to serve large-scale corporate clients across multiple industries.
- Designed and implemented scalable, high-performance APIs for delivering subscription-based regional datasets, ensuring low-latency access and high availability.
- Built data ingestion and transformation pipelines to process raw datasets into actionable insights tailored for client requirements.
- Applied modular service design with authentication, rate-limiting, and logging to support enterprise-grade deployments.
… - Collaborated with frontend and data science teams to integrate analytics dashboards and visualization tools, enabling clients to query and analyze real-time regional data.
- Optimized database queries and caching strategies, reducing API response times by 30–40% while supporting millions of requests daily.