Gopalan P.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 𝟴+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. ✅ $50K+ Total Earnings ✅ 8+ Years Experience as Full-Stack Developer & AI Integrator ✅ 80+ Projects Completed Successfully ✅ Top Rated Plus Status with 100% Job Success Rate ✅ AWS Certified | Python Certified | 50+ Hours/Week Available 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork. 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow. 🟢 𝗠𝗖𝗣, 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, 𝗥𝗔𝗚, 𝗚𝗿𝗮𝗽𝗵𝗥𝗔𝗚, 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁𝘀, 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵, 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀, 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀, 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗖𝗮𝗹𝗹𝗶𝗻𝗴, 𝗧𝗼𝗼𝗹 𝗨𝘀𝗲, 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, 𝗟??𝗠 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴, 𝗟𝗟𝗠 𝗘𝘃𝗮𝗹𝘀, 𝗚𝗲𝗻𝗔𝗜 𝗔𝗽𝗽𝘀, 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗔𝗜, 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗕𝗮𝘀𝗲 𝗔𝗜, 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗲𝗮𝗿𝗰𝗵, 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝗲𝗮𝗿𝗰𝗵, 𝗥𝗲𝗿𝗮𝗻𝗸𝗶𝗻𝗴, 𝗚𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀, 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Greetings! I am Gopalan Prakash, a seasoned AI Developer and Full-Stack Engineer with over 8+ years of professional software development experience. Over the last several years, I have specialized deeply in Generative AI implementation, constructing high-performance production systems, autonomous Voice AI Agents, Advanced RAG pipelines, and end-to-end AI Automation architectures. I excel at taking complex AI frameworks and seamlessly driving their backend and frontend execution into scalable, enterprise-ready web applications. 🤖 LLM & AI Engineering Skillset 🔹 AI Agents / Voice Agents: LangGraph, CrewAI, AutoGen, LiveKit, Vapi, Deepgram, MCP (Model Context Protocol) 🔹 Open-Source LLMs: Llama 3.x / Llama 4, DeepSeek-R1, Mistral, Mixtral, Gemma 2 🔹 Fast Inference & Quantization: vLLM, TensorRT-LLM, TGI, GGUF, AWQ, GPTQ 🔹 Advanced RAG Systems: GraphRAG, LangChain, LlamaIndex, LlamaParse, Hybrid Search, Reranking 🔹 Vector Databases: Qdrant, Pinecone, Weaviate, Milvus, FAISS, ChromaDB 🔹 Evaluation & LLMOps: Langfuse, Arize Phoenix, Ragas, Synthetic Dataset Generation 🔹 AI Deployment & Orchestration: SkyPilot, AWS SageMaker, RunPod, GCP Vertex AI, Vercel AI SDK 🔹 LLM Fine-tuning & Alignment: PEFT, LoRA, QLoRA, SFT, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain, AWS SageMaker 🖥️ Backend Infrastructure & Data Engineering 🔹 Languages & Frameworks: Python (FastAPI, Django, Flask), Node.js (Express.js, Nest.js) 🔹 Databases: PostgreSQL, MySQL, MongoDB, Firebase, Firestore, Redis caching 🔹 Cloud & DevOps: AWS (EC2, S3, Lambda, API Gateway), Docker, Kubernetes, Nginx, GitLab CI/CD 🔹 Task Automation: Celery task queues, Flowise AI, LangFlow, Advanced Web Scraping (Selenium, Playwright) 🌐 High-Performance Frontend Development 🔹 Core Stack: TypeScript, JavaScript, HTML5, CSS3, Tailwind CSS 🔹 Frameworks: Next.js, React.js, Vue.js, Nuxt.js, Redux Toolkit 🔹 Mobile & Apps: React Native for cross-platform mobile apps, Progressive Web Apps (PWA) 📌 Services I Offer ⚙️ Autonomous Multi-Agent Systems: Stateful multi-agent workflows designed with LangGraph for deterministic task execution. ⚙️ Production-Grade Voice AI Agents: Real-time, ultra-low latency conversational voice streaming utilizing LiveKit, Vapi, and Deepgram. ⚙️ Enterprise Knowledge Graphs & GraphRAG: Moving beyond basic vector search to multi-angle data indexing that completely eliminates hallucinations. ⚙️ Full-Stack AI Application Development: Designing beautiful Next.js frontends powered by scalable Python/Node.js microservices. ⚙️ LLM Fine-Tuning & Cost Optimization: Fine-tuning open-source models using Unsloth and deploying on vLLM to cut down API costs drastically. My diverse background allows me to handle the entire lifecycle of a project—from training or optimizing an AI model, to architectural backend pipeline planning, up to deploying a polished, user-ready application. I am dedicated to delivering clean, scalable code that solves actual business problems. Let’s build something incredible. Introduce your project or invite me to apply! Warm regards, Gopalan Prakash