10.06.2026 aktualisiert


Premiumkunde
100 % verfügbarFull Stack SaaS & AI Agent Development | React + Node + Typescript + AWS + LangGraph + OpenAI SDK
Mumbai, Indien
Weltweit
Bachelor of Engineering in Information TechnologyÜber mich
10+ products developed across the UK, US, and Germany. One won Product of the Year. Recently built a HIPAA & GDPR-compliant healthcare platform, 8 months from spec to production.
Skills
AI AgentsLangChainHTMLJavaScriptArchitekturSaasDevOpsWeb EntwicklungNext.jsSystem DesignTypeScriptFront EndMernReact.jsBackend
SaaS development taking 6 months and still not shipped? I deliver working v1s in 4 weeks.
10+ products developed across the UK, US, and Germany. One won Product of the Year.
Most developers either abandon projects halfway, overcomplicate things, or choose the wrong tech stack. Delays, bugs, and technical debt you never signed up for. I prevent that.
THE RECORD
-> 10+ products developed in production across UK, US, and Germany
-> Award-winning carbon accounting platform (Innovative Product of the Year, Isle of Man)
-> AI appointment scheduling healthcare SaaS with WhatsApp bot, GDPR and HIPAA compliant (Germany)
-> Multi-Agent AI System for Energy Data Pipeline
-> Multi-Agent AI System for Audit Firm
-> AI voice sales agent for European SaaS company (automated outbound calls)
-> Internal ops tools for chartered accounting firm (South Africa)
-> Internal ops tools for Fitness Chain
-> Multi-year client relationships (most clients work with me for 3+ years)
-> 30-day average MVP delivery, idea to deployed product
-> 6 client testimonials, zero negative reviews
WHAT I BUILD:
Custom SaaS Platforms
Multi-tenant architecture, subscription billing (Stripe), user management, role-based access, admin dashboards. React/Next.js frontend, Node.js or FastAPI backend, PostgreSQL, MongoDB, Redis. Built to scale from 10 users to 10,000+.
MVPs and Product Launches
Idea to architecture in 1-2 weeks. Working prototype in 6 weeks. Deployed v1 in 14 weeks. I scope honestly. If it cannot be done in 14 weeks, I say so upfront.
AI-Integrated Applications
LangGraph, LlamaIndex, OpenAI SDK, LiveKit, RAG systems. AI agents with tool calling. AI voice sales agents. WhatsApp AI bots. GPT-4 and Claude integration into existing products. Production AI features, not demos.
DevOps and Infrastructure
AWS (ECS, EKS, Lambda, S3, EC2, RDS), Kubernetes, Docker, Terraform, Ansible. CI/CD with GitHub Actions and GitLab CI. Monitoring: Grafana, Prometheus, ELK. ClickHouse for analytics. Infrastructure as code from day one.
WHAT CLIENTS SAY
"Trusted and reliable team, always strives to deliver the best results and is very output driven" - Ranjit Singh Rai, CEO@carbonlnk
"Very knowledgeable in cloud computing, IoT sensors integration, web and app development, AI development. We have used his services over the past 3 years and continue to value the quality" - Audrey Ross, Director @Lnk Technologies
"I am very satisfied with Amol and the performance. All the cooperation and further ideas are very good. Highly recommended!" Mario Szirniks@Kaih UG (haftungsbeschränkt)
Got an idea, a plan, or a timeline you want a second opinion on?
DM me and let us talk it through.
Sprachen
Englishverhandlungssicher
Projekthistorie
Agent 1: Media & Data Monitoring Agent
- LangGraph, RSS feed, Economic Sources, Registry Ranking, OpenAI docx writer
collect -> rank -> approve -> summarize-> output
Agent 2: Political & Policy Stakeholder Mapping Agent
- LangGraph, Search MCP for data extract from parliament, OpenAI
profile -> policy scope -> cllect -> score -> output
Agent 3: Competitor Alternatives Agent
load_client -> discover -> rank -> gap aalysis -> output
Multi-agent AI system for energy data pipeline:
• Data Retrieval Agent – Extracts user energy consumption data from the DB in real time.
• Anomaly Detection Agent – Analyses patterns to detect spikes, irregularities, and wastage.
• Energy-Saving Advisor Agent – Generates personalised saving tips via RAG-powered knowledge.
Results:
⚡ Automated detection of unusual consumption patterns
? Personalised, real-world saving recommendations
⏱ Real-Time Analysis – Eliminated manual monitoring
? Helped reduce unnecessary energy usage
Built a custom internal operations platform for a multi-location gym/fitness business to replace scattered spreadsheets and manual coordination.
• Centralised member management, class/trainer scheduling, and team task tracking into one dashboard. • Automated repetitive follow-ups (renewals, attendance gaps, onboarding) so staff stop chasing them manually. • Gave leadership real-time visibility into utilisation, retention risk, and team workload.
Outcome: less front-desk admin time, fewer dropped member follow-ups, and one source of truth instead of disconnected sheets. Anchors a fitness-chain digital transformation case study referenced by the MD.