AI Agent Developer specializing in LangGraph orchestration, FastAPI backends, and production-grade full-stack AI. MNIT Jaipur B.Tech 2025.
Enterprise-grade AI platform that autonomously routes, triages, and resolves customer support tickets. Built with LangGraph state machines coordinating specialized triage, knowledge retrieval, and resolution agents with full conversation memory and context awareness.
AI-powered workflow automation platform that runs 100% locally using open-source models. Features autonomous agents for research, analysis, content creation, visual workflow builder, vector memory, and event-driven automation—all without API costs or data privacy concerns.
Full-stack personal AI assistant with real-time chat via WebSocket, intelligent reminders, alarms with push notifications, and a beautiful Progressive Web App interface. Features Firebase Cloud Messaging, activity dashboard, and quick actions for daily productivity.
Intelligent financial analysis platform that transforms raw financial data into actionable insights. Features automated spending pattern analysis, anomaly detection, budget recommendations, and beautiful visual dashboards for comprehensive financial intelligence.
Multilingual AI travel companion with GPS-powered location discovery, personalized itinerary recommendations, and persistent conversation memory. Features Groq + Gemini fallback for reliable responses, Google Places integration, and seamless travel planning experience.
Revolutionary natural language to production-ready code system. Multi-agent architecture with Planner, Architect, and Coder agents working together to simulate real software development workflows—from concept to deployment-ready applications.
Advanced AI research assistant that autonomously conducts comprehensive research, analyzes multiple sources, synthesizes findings, and generates detailed research reports. Features intelligent source validation, citation management, and structured output formatting.
Comprehensive neural network framework and experimentation platform. Build, train, and deploy deep learning models with advanced architectures, hyperparameter optimization, and production-ready model serving capabilities.
Intelligent data management and analytics platform that drives actionable insights from complex datasets. Features automated data pipelines, real-time processing, advanced analytics, and visualization tools for data-driven decision making.
AI-powered review management and analysis system that intelligently processes, categorizes, and extracts insights from customer reviews. Features sentiment analysis, trend identification, and automated response generation for enhanced customer engagement.
Advanced machine learning system for stock market price forecasting using historical data analysis. Features comprehensive feature engineering, multiple regression models, performance evaluation metrics, and interactive visualization dashboards for financial insights.
Agricultural intelligence platform predicting crop yields using machine learning regression models. Features comprehensive exploratory data analysis, advanced feature engineering, climate and soil factor integration, and impact visualization for sustainable farming decisions.
Custom autonomous agents using LangGraph — ReAct, self-reflection, task decomposition. From single tools to complex multi-agent orchestration with memory.
Replace manual processes with intelligent AI pipelines. Customer support, document processing, research workflows — running reliably without human intervention.
Intelligent Q&A over your documents using vector embeddings and ChromaDB. Understands context, not just keywords.
React frontend + FastAPI backend + Docker. Real-time streaming, beautiful UIs, production-ready. Full product, not just an API wrapper.
Structured architectures, JSON enforcement, hallucination reduction, guardrails. Making LLMs reliable and consistent in production.
Supervised/unsupervised models, feature engineering, intelligent dashboards. Raw data into actionable business intelligence.
Deep dive into your workflow. What's manual? What costs time? I map the exact process before writing a single line of code.
Design the LangGraph state machine — agents, tools, handoffs, data flow. The right architecture determines everything.
Real LLM integrations from day one. Weekly demos, constant feedback, no surprises. You see progress every step.
Docker, error handling, health checks, documentation. Not a demo — a system your team can rely on every day.
"Very solid work. The multi-agent support system actually reduced our manual workload. We had a few iterations on the prompts, but Kartikey was quick to fix things."
"Good experience overall. The research agent saves us time on desk research. We still tweak it sometimes for niche topics, but the base system is strong."
"Understood our requirements quickly and shipped on the agreed timeline. Some edge cases came up later, but he helped us handle them without drama."
"The finance tool is now part of our workflow. UI is clean, and streaming responses feel nice. There were a couple of minor bugs at launch, but they were fixed fast."
"Knows his way around production AI. Not just fancy demos. The RAG system is reliable enough that our team actually uses it daily."
"Easy to communicate with and open to feedback. We did not write long reviews, but overall it was a good collaboration."
"Very solid work. The multi-agent support system actually reduced our manual workload. We had a few iterations on the prompts, but Kartikey was quick to fix things."
"Good experience overall. The research agent saves us time on desk research. We still tweak it sometimes for niche topics, but the base system is strong."
"Understood our requirements quickly and shipped on the agreed timeline. Some edge cases came up later, but he helped us handle them without drama."
"The finance tool is now part of our workflow. UI is clean, and streaming responses feel nice. There were a couple of minor bugs at launch, but they were fixed fast."
"Knows his way around production AI. Not just fancy demos. The RAG system is reliable enough that our team actually uses it daily."
"Easy to communicate with and open to feedback. We did not write long reviews, but overall it was a good collaboration."