Freelancers using Python in Alvin
Freelancers using Python in Alvin
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Akshat Sharma
Houston, USA
Full Stack Developer | Project Manager | Executive Assistant
55
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Full Stack Developer | Project Manager | Executive Assistant
15
Turning long documents into decisions. Organizations rely on long reports to make critical decisions, but most insights stay buried. This AI Decision Intelligence system turns raw documents into predictions, evidence scoring, and clear insights in minutes. If AI could read your reports for you, what decisions would you automate first? #AI #MachineLearning #DecisionIntelligence #EnterpriseAI #DataAnalytics #Automation
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🌳 Tree Crown Detection, Done Right We built an AI system that detects and segments individual tree crowns in aerial imagery, producing clean, non-overlapping boundaries. Using RetinaNet + Mask R-CNN, our model outperforms Detectree2 with fewer false positives, no over-segmentation, and GIS-ready outputs, even in dense forests. #AI #ComputerVision #RemoteSensing
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🚀 Building WorkMind AI — A Unified AI Workplace We built WorkMind AI: a unified workplace with team collaboration, AI performance scoring, personalized coaching, and smart scheduling. One platform to boost productivity with real-time, data-driven insights. 🚀 A single AI-powered workspace that centralizes collaboration, automates performance insights, and boosts productivity through continuous, data-driven guidance. If you're building in AI, workflow automation, or enterprise tooling — let’s talk. 🚀 #AI #FullStackDevelopment #ProjectManagement #TechLead #Automation #Startups #LLM
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We’re entering a phase where AI products won’t win just because of the tech… They’ll win because of distribution. At Kokorick, we’re focused on one thing: Turning AI tools into growth engines. With Warmo, it’s not just about sending emails— it’s about building a system that learns: • Who converts • What messaging works • Which audiences actually respond The real moat isn’t the model. It’s the data you collect over time. That’s where things get interesting. #AIGrowth #StartupGrowth #GrowthStrategy #AISaaS #LeadGeneration #EmailOutreach #Automation #BuildInPublic
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337
Python
(3)
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Al Kaizar Sappayani
Houston, USA
AI Engineer(AI Agents, LLM Apps, Chatbots, RAG)
New to Contra
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AI Engineer(AI Agents, LLM Apps, Chatbots, RAG)
2
AI Sales Agent Problem: Customers needed fast, accurate answers on courses/licensing/policies from a huge, changing catalog; support handled repetitive questions and compliance is state-specific. Solution: Built RUBI, an embedded RAG purchase advisor in using ETL + multimodal indexing and hybrid retrieval (metadata + vector + structured lookups) with cited, grounded answers, purchase flows, analytics, and tuning loops. Metrics: 695,042 conversations; 2.6 Qs/convo; feedback 6% up / 94% down; ~10s to first token, ~11s complete; KB >100k structured rows.
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AI Generated Data Analysis Problem: Weekly call-center ops data needed actionable synthesis; manual analysis was slow and inconsistent. Solution: Built an LLM data analysis agent: ingest call data, run NLP + aggregations, detect anomalies, and generate a weekly executive PDF with insights, metrics, and recommended actions Metrics Automated weekly PDF; similar setups cut analysis time ~90% and improved decision turnaround (one related client saw 17% revenue lift over 7 months) Tech: Python ETL, Pandas, NLP, GPT-4o, Airflow Result: Consistent reports that surface issues fast and drive quicker corrective action.
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AI - powered insurance Agent Problem: Prior auth was manual—staff reviewed patient docs to predict approvals, making the process slow and resource-heavy. Solution: Built a HIPAA-compliant AI auth system: extract clinical data (OCR + clinical NLP), form a structured EHR-like record, evaluate insurer rules, and generate approval suggestions; added voice input workflows via STT/TTS plus secure storage and audit logging. Metrics: Reduced turnaround time and improved SLA adherence (similar projects reached ~98%). Result: Automated major parts of auth decisioning while staying compliant and auditable. Skills: AI Speech-to-Text AI Agent Development AI Builder AI Audio Generation AI Security
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Marketing Assistant Bot As part of my work in AI-driven automation, I built a Marketing Assistant Bot using Relevance AI to address a major challenge in customer engagement: inefficient lead handling and inconsistent follow-ups. Businesses often struggle with manually qualifying leads, responding to competitor comparisons, and guiding potential customers through the sales funnel. The lack of automation resulted in lost opportunities, delayed responses, and high drop-off rates. To solve this, I developed an assistant on Relevance AI
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193
Python
(3)
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Matthew Delano
max
Alvin, USA
🚀Full-Stack Developer | SaaS | eCommerce | FinTech | AI
$1k+
Earned
2x
Hired
5.0
Rating
67
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🚀Full-Stack Developer | SaaS | eCommerce | FinTech | AI
1
AI Concierge Platform for Multi‑Property Hotel Network
1
13
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AI-Powered Advanced Rider Assistance System Development
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4
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React | Legably Legal Marketplace Platform
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20
1
React | Peerspace-Style Space Booking Marketplace
1
14
Python
(2)
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Arsal Khan
Houston, USA
Cybersecurity Expert: Your Shield Against Threats
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Cybersecurity Expert: Your Shield Against Threats
0
Vulnerability Report
0
9
0
Incident Response Tabletop
0
8
0
SOP
0
3
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Python
(1)
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Ryan O'Leary
Houston, USA
Tech Founder + Corporate Strategy Consultant
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Tech Founder + Corporate Strategy Consultant
0
Javari
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41
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‎Upbeat: Music Discovery
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25
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Figma
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27
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Python
(2)
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Ahmet Cetinkaya
Houston, USA
Data Analyst
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Data Analyst
0
Analysis of Movie Data
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2
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Exploring Credit Card Approval Data
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0
0
Bike Rides Dashboard
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0
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Python
(2)
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