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Devowise Studios

Web Design Studio | Brand Identity | Framer & AI Solutions

$5k+: Earned

4x: Hired

5.0: Rating

127: Followers

expert

Expert

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Web Design Studio | Brand Identity | Framer & AI Solutions

Cover image for Scalable Azure Data Engineering Solution Implementation

Scalable Azure Data Engineering Solution Implementation

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Cover image for Clay – Modern Real Estate Website Development

Clay – Modern Real Estate Website Development

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Cover image for NjeyTeam Website Development Project

NjeyTeam Website Development Project

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Cover image for Farmio Agriculture Website Design

Farmio Agriculture Website Design

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Software Engineer | AWS | React | Databricks | Frontend

New to Contra

Software Engineer | AWS | React | Databricks | Frontend

Cover image for I designed and deployed an

I designed and deployed an end-to-end Enterprise Lakehouse on Azure Databricks for DineDash, a multi-city food delivery platform. The business was facing severe data fragmentation across disparate CSV dimensions and streaming JSON orders, along with data quality gaps that distorted revenue and driver metrics. To solve this, I built a production-grade Medallion Architecture combining Unity Catalog Volumes, Delta Live Tables (DLT) with real-time Data Quality firewalls, 27 SQL analytical models, an Executive BI Dashboard, and an Automated Databricks Workflow DAG that refreshes the entire platform seamlessly without manual intervention."

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Cover image for Linkedin-Auto
This project is made to

Linkedin-Auto This project is made to automate the data collecction process and the messeaging to the managers for a job or to increase some valuable connections

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Cover image for Refactor a Sudoku Game written

Refactor a Sudoku Game written in Python Flask Use this simple Sudoku game as a starting point to practice your skills with GitHub Copilot. The goal is to refactor the code to use modern technologies, while also adding new features and improving the overall user experience.

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Cover image for Aditya-Kumar

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AI Engineer | Agentic Systems & Automation | MLOps

New to Contra

AI Engineer | Agentic Systems & Automation | MLOps

Cover image for I engineered a large-scale package-network

I engineered a large-scale package-network intelligence pipeline using Azure Databricks and PySpark. The system joined approximately 4.5 billion historical records and transformed them into reusable fingerprint signals covering package movement and network behavior. I developed time-windowed feature logic using native Spark expressions rather than Python UDFs, preserving distributed performance at scale. The pipeline produced an approximately 200-million-row fingerprint dataset and a 22-million-row operational output that classified package activity along a cold-to-hot temperature scale. The resulting signals supported downstream monitoring, prioritization, and operational analysis. The architecture shown here is a sanitized representation; client identifiers, proprietary schemas, infrastructure paths, and business rules have been removed.

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Cover image for Last week I shipped a

Last week I shipped a full learning platform: two audience journeys (students + tutors), subscriptions and digital-product sales, lead capture, blog — built solo, end to end.

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Cover image for I designed and engineered a

I designed and engineered a hierarchical multi-agent orchestration framework for coordinating complex AI-assisted engineering and analytical work. A central orchestrator assigns bounded tasks to specialized builder, analyst, reviewer, and verification agents. Execution follows an explicit dependency graph, while shared evidence, acceptance gates, negative-path testing, and checkpointed state prevent agents from declaring work complete without proof. The framework supports targeted retries, rollback, and recovery from the first incomplete node instead of restarting an entire workflow. It also separates implementation from independent review, reducing the risk of an agent validating its own unsupported conclusions. This independent engineering project demonstrates how agentic systems can be made more controlled, observable, and recoverable. The architecture and control interface are representative views of the framework rather than screenshots containing private execution data.

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Cover image for I developed an AI-assisted document-intelligence

I developed an AI-assisted document-intelligence workflow for transportation-agency teams working with large collections of reports, standards, studies, scanned documents, and project records. The system combined document extraction, OCR, structured metadata, semantic retrieval, knowledge relationships, and grounded LLM responses. Analysts could ask questions in natural language, review the supporting evidence, inspect source citations, and approve, revise, or reject generated findings. The workflow was designed around human review, access controls, traceability, and safe failure rather than treating an LLM response as an unquestionable answer. Related work reduced decision time by approximately 60% and improved data accuracy by approximately 35%. The displayed architecture and interface are sanitized representations and contain no client documents, production data, proprietary prompts, or confidential system details.

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Results-driven Data Engineer & Full-Stack Developer building

Results-driven Data Engineer & Full-Stack Developer building

Cover image for Real-time NFL Draft Prediction Model Deployment

Real-time NFL Draft Prediction Model Deployment

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Cover image for Real-Time Rental Market Analytics Application

Real-Time Rental Market Analytics Application

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Cover image for Real-Time Marketing Offer System

Real-Time Marketing Offer System

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Cover image for Portfolio

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Summerville, USA

Talented Data Engineer | Data Architecture

Talented Data Engineer | Data Architecture

Cover image for Databricks to Terraform Export Transformation

Databricks to Terraform Export Transformation

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Cover image for 301 Moved Permanently

301 Moved Permanently

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Cover image for Development of DataTrackPro Analytics Platform

Development of DataTrackPro Analytics Platform

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Cover image for Automic ETL Development for Lakehouse Architecture

Automic ETL Development for Lakehouse Architecture

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Rajkumar Chatterjee

Advisory Consultant: Leveraging Data for Better Decisions

Advisory Consultant: Leveraging Data for Better Decisions

Cover image for Provided independent architecture reviews and

Provided independent architecture reviews and second-opinion guidance for leadership teams evaluating complex data and platform decisions, helping surface risks early and validate strategic design choices.

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Cover image for Senior advisory engagement focused on

Senior advisory engagement focused on guiding data and platform strategy for a regulated enterprise, with emphasis on architectural direction and decision-making rather than delivery

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Cover image for Advisory engagement focused on guiding

Advisory engagement focused on guiding domain owners and architects on data product and domain-driven architecture principles, helping align data structure, ownership boundaries, and platform design for long-term scalability.

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Cover image for Fractional architecture leadership engagement supporting

Fractional architecture leadership engagement supporting solutioning and design decisions for a UK-based asset management firm, providing architectural direction, design reviews, and decision support without owning delivery execution.

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Melbourne VIC, Australia

Sales Analyst | Commercial Growth | Data-Driven | AI

Sales Analyst | Commercial Growth | Data-Driven | AI

Cover image for Project Title: Enterprise Sales Intelligence

Project Title: Enterprise Sales Intelligence & Governance Dashboard (PoC) The Strategy: Before deploying the full-scale governance model, I architected this Proof of Concept (PoC) to validate data-source alignment and core reporting requirements with key stakeholders. The Outcome: This prototype allowed us to stress-test the data model and refine the KPIs, ensuring the final, production-grade dashboard was perfectly aligned with executive decision-making needs.

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Cover image for Project Title: AI-Driven Sales Intelligence

Project Title: AI-Driven Sales Intelligence & Workflow Automation The Business Challenge: Manual lead qualification and inconsistent follow-up processes created massive operational bottlenecks, leading to lost conversion opportunities and stalled revenue growth. The Architectural Solution: I architected a closed-loop automation framework to standardize the sales lifecycle. This solution features: Real-time Intelligence: An AI-processing layer that dynamically extracts customer data and matches insurance policy profiles during live interactions. Automated Conversion Pathways: A logic-driven branching model that differentiates between "Ready to Buy" signals and "Needs Time" triggers, ensuring zero lost leads through automated callbacks and personalized SMS sequences. Systemic Optimization: A feedback loop that feeds interaction data back into the performance analytics engine to continuously refine recommendation accuracy and time efficiency. The Impact: Transformed fragmented sales interactions into a high-visibility, data-backed system, directly improving lead recovery rates and operational throughput.

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Cover image for This piece of work was

This piece of work was part of the continuation from the RFP Qualification Agent that I built. This worked on the response given from the other agent once our piece we picked is qualified to understand timelines, dates, and who to get onto the submission of the proposal. Also should mention that it plans what forms or documents we should fill.

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Cover image for Built an AI-driven RFP qualification

Built an AI-driven RFP qualification agent that automates the evaluation of tender requirements, identifies key risks, and highlights escalation triggers to support faster and more consistent bid/no-bid decisions.

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Mexico City, Mexico

Fullstack Software Engineer specialized in data

Fullstack Software Engineer specialized in data

Cover image for After 4 years as a

After 4 years as a data integration engineer at Elia Group I'm glad I was a part of the digitalization of the electrical grid in Belgium. https://innovation.eliagroup.eu/en/innovation-pillars/infrastructure-and-asset-management#

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Cover image for Turn scattered economic & trade

Turn scattered economic & trade feeds into one clear, actionable view. I integrate World Bank, OECD, UN Comtrade, FX and news signals into a single, reliable dataset and deliver a modern dashboard with KPIs, map, trends, top partners, and alerts—so you can make decisions in minutes, not days.

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Cover image for The endless grind of what is a good looking front-end. If yo...

The endless grind of what is a good looking front-end. If you are reading this post created a webpage before you know how important it is for this one button to be in that particular spot just to wake up the next morning just to find yourself unhappy because you saw another website with a better design. How do you deal with constant unsatisfaction about how your pages look ? I'm currently building my first website for a client and I am trapped in that cycle. https://cmcnivelles.be/test/index.html

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Cover image for Started a new adventure on a full stack application to captu...

Started a new adventure on a full stack application to capture pictures and videos of animals while traveling around the world. As usual, making dreams come true is harder then it seems. Check out the first version https://frostizes.github.io/wildlens/#/

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