Srujan K.
AI Developer | LLM, RAG, AI Agents, OpenAI, LangChain, LangGraph,
Hi, I am Srujan Alikanti, a seasoned AI Developer and Python Engineer specializing in building Generative AI solutions, AI Agents, RAG systems, and intelligent automation across cloud platforms like AWS, Azure, and GCP. With over 18+ years of experience in software, data, and cloud engineering, I excel in designing scalable AI applications, integrating LLMs into business workflows, and delivering production-grade solutions using Python, OpenAI, LangChain, LangGraph, FastAPI, and Vector Databases. I have a strong background in building end-to-end AI systems that combine data, reasoning, automation, and APIs to solve real business problems. Expertise: 1. Generative AI & LLM Applications * Design and develop custom LLM applications using OpenAI and other modern foundation models * Build AI-powered assistants, copilots, chatbots, and knowledge retrieval applications * Develop prompt engineering strategies for better accuracy, consistency, and business relevance * Create production-ready Generative AI solutions for internal tools, customer support, research, and automation 2. RAG & Knowledge-Based AI Systems * Build Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge search and question answering * Integrate LLMs with structured and unstructured data sources including PDFs, documents, databases, websites, and APIs * Implement chunking, embeddings, vector search, reranking, and context optimization for better response quality * Develop secure and scalable AI knowledge assistants using vector databases and document retrieval pipelines 3. AI Agents & Agentic Workflows * Design and implement AI Agents that can reason, retrieve information, call tools, and complete multi-step workflows * Build agentic systems using LangChain, LangGraph, and function/tool calling frameworks * Create autonomous and semi-autonomous agents for research, summarization, task execution, and workflow orchestration * Implement planning, memory, retries, guardrails, and human-in-the-loop patterns for reliable AI workflows 4. Python Backend & AI APIs * Develop backend services for AI applications using Python, FastAPI, and REST APIs * Build scalable API layers for LLM applications, agent systems, and AI-powered business tools * Integrate AI models with web applications, databases, cloud services, and third-party platforms * Create modular, maintainable, and production-grade backend architectures for AI solutions 5. Data, Embeddings & Vector Databases * Build embedding pipelines for semantic search, knowledge retrieval, and contextual AI applications * Work with vector databases and hybrid search systems for high-quality retrieval * Connect AI systems with PostgreSQL, Neo4j, MongoDB, Snowflake, and other enterprise data platforms * Design data pipelines that prepare, enrich, and serve high-quality context for LLM-based applications 6. AI Automation & Business Process Solutions * Automate business workflows using AI-powered decisioning, summarization, extraction, and classification * Build document processing and intelligent data extraction pipelines using LLMs and OCR-enabled workflows * Integrate AI with CRMs, ERPs, support systems, and internal business platforms * Deliver practical AI solutions that reduce manual work and improve operational efficiency 7. Cloud, Deployment & Production AI Engineering * Deploy AI applications on AWS, Azure, and GCP using cloud-native services * Build secure, scalable, and maintainable AI systems for production use * Implement observability, logging, evaluation, monitoring, and optimization for AI applications * Support end-to-end delivery from proof of concept to MVP to production deployment Specialties: AI Technologies: OpenAI, LLMs, Generative AI, RAG, AI Agents, Prompt Engineering, MCP, Tool Calling, Function Calling Frameworks: LangChain, LangGraph, FastAPI, Streamlit, Flask Vector Databases: FAISS, Chroma, Pinecone, Weaviate Databases: PostgreSQL, Neo4j, MongoDB, Snowflake, MSSQL Languages: Python, SQL, Java, Unix, HTML, Node.js, React.js Cloud Platforms: AWS, Azure, GCP Orchestration & Automation: Apache Airflow, AWS Step Functions, Azure Logic Apps Development Areas: AI Chatbots, Knowledge Assistants, AI Automation, Semantic Search, Multi-Agent Systems, Backend APIs You want to build an AI application? Great!! I can help you design and develop LLM-powered solutions such as chatbots, copilots, RAG systems, and intelligent assistants. You want AI Agents for automation? Even Better!! I can build agentic workflows that retrieve data, reason through tasks, call tools, and automate business processes. You want to connect AI with your data and systems? No Problem!! I can integrate AI with APIs, cloud platforms, databases, documents, and enterprise applications to deliver real business value. Expect integrity, excellent communication, technical proficiency, and long-term support.
Earnings and projects
An estimate from an earlier read
Across 21 contracts
Earnings, last 30 days
No data since Nov 5, 2026.