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4
3
Kenya
3+ years of experience
Backend Architect. Systems Engineer. Full-Stack Builder. 💻 I translate complex business logic into high-efficiency, scalable digital products. Specializing in Python (FastAPI/Frappe), Flutter, end-to-end ERPNext implementations, and advanced AI orchestration. 🛠️ Building systems with social impact.

The Problem: Developer Toil and Context Fragmentation Modern modular architectures—such as a Python/FastAPI backend paired with a JavaScript frontend, suffer from what we call "Developer Toil." An innocent update in one layer (e.g., renaming a database column) often silently breaks the API contract in another layer (e.g., the frontend fetch payload). Tracing these 422 Unprocessable Entity errors requires massive mental context-switching, manual log parsing, and reactive patching. For solo developers and small engineering teams, this constant debugging toil creates a severe bottleneck that halts new feature development and severely limits scaling capacity. Our Solution and Target Users ContractFlow is an Autonomous Developer Workflow Engine designed for solo developers, backend engineers and small agile teams who need to scale their output without drowning in maintenance. Rather than waiting for a silent API failure to crash a staging environment, ContractFlow acts proactively. It statically scans your code repository, builds a comprehensive cross-layer contract map (spanning frontend clients, API routes, Pydantic schemas, and test suites), and automatically detects field-name drift—such as a backend expecting doctor_id while the frontend erroneously sends doctorId. How Users Interact With It Developers interact with ContractFlow seamlessly through a Command Line Interface (CLI) or an intuitive local single-page Web UI. With a single command (e.g., python -m app.main ./project --full), the developer triggers the complete autonomous pipeline: the system detects the drift, investigates the surrounding logic, proposes a code patch, applies the repair, and verifies that the contract is restored. What Makes It Unique and Effective What makes ContractFlow highly creative and unique is that it moves far beyond traditional AI "autocomplete." By leveraging IBM Bob 2.0’s multi-agent orchestration and full-repository context capabilities, ContractFlow transforms static codebases into self-maintaining ecosystems. It doesn't just highlight a syntax error; it spawns specialized parallel subagents to trace logic across completely decoupled system layers. By automating deep-repository dependency mapping and intelligent patching, ContractFlow effectively eliminates the most time-consuming aspects of the software lifecycle. It efficiently empowers a single engineer to operate with the technical output, speed, and reliability of a full enterprise engineering team, catching and fixing cross-layer API drift before it ever reaches production.
27 Sep 2026

SautiOps gives small teams a voice-first way to report and manage operational problems without stopping to fill out forms. A worker describes an issue naturally, the agent asks for missing details, confirms the report and creates a structured ticket. Supervisors can ask for unresolved work during shift handover and close completed issues by voice. Built with AssemblyAI's real-time Voice Agent API, SautiOps demonstrates speech understanding, natural turn-taking and JSON-schema tool calling connected to a real backend workflow. The MVP uses FastAPI and SQLite so a spoken report becomes actual persistent operational data rather than just a transcript.
30 Sep 2026

The Problem: The Silent Cost of Weak Negotiations In high-stakes environments—venture capital boardrooms, executive salary reviews, or billion-dollar contract closings—the difference between a "good" deal and a "legacy-defining" deal often comes down to a few seconds of psychological fortitude. Most professionals lack the real-time tactical script and the emotional composure required to push back against aggressive counterparties. Traditional executive coaching is too slow, and generic LLMs are too "polite" to win in cutthroat environments. The Solution: Kifani AI Negotiation Dashboard Kifani AI is an elite, voice-and-text enabled personal assistant designed to be the "Iron Man Suit" for business combat. By combining a 4-pillar Skill Matrix (Empathy, Persuasion, Adaptability, Composure) with high-leverage tactical frameworks, Kifani transforms raw data into execution-focused strategy. The application offers a three-stage workflow: Profiling: Users calibrate their negotiation persona to match the intensity of the situation. Intelligence Intake: Real-time voice or text input of the counterparty’s latest offer or threat. Execution Output: The AI generates "Power Move Replies"—tactical, high-leverage scripts designed to seize control—and "Blind Spots" to highlight psychological risks. Technical Architecture Built for speed and precision, the Kifani frontend utilizes Vite + React for a zero-latency UI. The intelligence engine is powered by Fireworks AI, utilizing the Gemma model hosted on ultra-high-performance AMD clusters. This stack ensures that even in the heat of a live call, the AI delivers strategic insights in milliseconds. Market Viability Kifani AI targets the $15B global executive coaching market and the burgeoning $20B LegalTech sector. By moving from "passive learning" to "active execution," Kifani provides immediate ROI for founders, sales leaders, and procurement teams who cannot afford to leave money on the table.
13 Jul 2026