Akash G.

Top Rated Plus AI Engineer with $70K+ earned, 100% Job Success and 3,400+ Upwork hours. I build production-ready AI Agents, RAG/LLM applications and AI-powered SaaS products using Python, LangChain/LangGraph and MERN. I work with founders, product teams and businesses that need to build AI into a real application not just a proof of concept. That may mean adding a RAG assistant to an existing SaaS platform, building an AI agent that works across multiple systems, creating an intelligent document workflow, connecting an LLM to proprietary data, or taking an AI MVP into production. AI + FULL-STACK ENGINEERING: My advantage is that I can work across the complete AI product stack: React/Next.js frontend → Node.js/Python APIs → LLM/RAG/Agent layer → databases/vector stores → cloud deployment. This makes me particularly useful when AI needs to become part of an existing product or workflow rather than remain a standalone prototype. WHAT I BUILD: AI Agents & Agentic Workflows: Build agents that can interpret information, use tools/APIs, follow business rules, make controlled decisions and execute multi-step workflows. Multi-step AI agents • LangGraph / LangChain workflows • Tool and API integrations • Human-in-the-loop approvals • Rule-based + LLM decision workflows • Business process automation RAG & Enterprise Knowledge Systems: • RAG assistants over PDFs, internal documentation and proprietary data • Enterprise knowledge search • Vector search and hybrid retrieval • Context-aware assistants • Document question-answering systems Generative AI & LLM Integration: • OpenAI, Llama, Mistral and Hugging Face • LLM integration into existing SaaS products • Prompt and context engineering • Fine-tuning using LoRA, QLoRA and PEFT • Evaluation, monitoring and guardrails AI-Powered SaaS Development: • React / Next.js frontend • Node.js / NestJS / Express backend • Python / FastAPI AI services • PostgreSQL / MongoDB • Authentication, APIs and third-party integrations • AWS, Docker and production deployment Intelligent Automation & Data Workflows: • Document extraction, classification and summarization • Email and CRM automation • Natural-language-to-SQL analytics • AI-powered ETL and data processing • Workflow routing and automated actions - Computer Vision & Real-Time Systems • Vehicle/object detection • Monitoring and tracking • Live operational dashboards • Alerting and event-driven workflows SELECTED SYSTEMS: - AI Healthcare Data Automation: Built an AI-powered ETL workflow for cleansing, transforming and analyzing clinical data, reducing manual effort by 80%. - Enterprise RAG Knowledge Assistant: Built a contextual assistant over proprietary knowledge using LangChain/LlamaIndex with API and application integration. - AI Outreach & CRM Automation: Built an AI-based outreach workflow for lead enrichment, personalization, follow-ups and CRM updates. combining LLM personalization, vector retrieval and automation, with a documented 35% improvement in conversion. - AI Knowledge Assistant: Built a RAG-based enterprise assistant connecting proprietary knowledge with CRM workflows for contextual support and lead enrichment. - Logistics & Fleet Platform: Built systems involving live vehicle tracking, route optimization, delivery-status APIs and operational dashboards. => TECH STACK: AI: OpenAI, Llama, Mistral, Hugging Face, LangChain, LangGraph, LlamaIndex RAG/Data: Pinecone, Weaviate, Redis/RedisVL, FAISS, PostgreSQL, MongoDB Backend: Python, FastAPI, Flask, Node.js, Express, NestJS Frontend: React, Next.js Infrastructure: AWS, Docker, Kubernetes, CI/CD AI/ML: NLP, embeddings, RAG, agents, LoRA, QLoRA, PEFT => YOU'RE A GOOD FIT IF YOU NEED: • An AI Agent or multi-step AI workflow • RAG over private/company data • An LLM integrated into an existing product • A Generative AI SaaS MVP • A Python/FastAPI AI backend • A MERN application with an AI layer • An AI proof-of-concept moved into production • Intelligent document or workflow automation If you already have a product, workflow or AI idea, send me a short description of the current setup and the outcome you want. I can help determine the most practical architecture, AI approach and implementation path before development begins.