Abhishek K.

Hi, Welcome to my profile! I am a full-stack Python/AI/ML Developer with over 5+ years of experience. I have strong experience in Web scraping (Beautiful Soup, Scrapy, and Selenium Web Driver), Deep learning methodologies, model infrastructure, and developing state-of-the-art language models (LLMs) & LLAMA models. Also, I have compiled some of the most cutting-edge features in AI, GPT, RAG, and NLP to cater to specific domains and complex applications. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: 💠 Python 💠 Django | Flask | FastAPI | DRF 💠 React.js | Angular | Next.js 💠 AI / ML | Deep Learning | LLM Integration 💠 Data Visualization: Power BI | Matplotlib | Seaborn | Plotly 💠 PostgreSQL | MySQL | MongoDB | ArangoDB | Redis 💠 AWS | Azure | GCP | Heroku | Docker | Kubernetes | RabbitMQ 💠 DevOps | CI/CD | GitHub Actions | Terraform 💠 ChatBot Development | Rasa | LangChain 💠 AI Agent | Auto-GPT | AgentOps 💠 Celery | Task Queues | Background Jobs 💠 REST APIs | GraphQL | gRPC | WebSockets 💠 Microservice Architecture | Event-Driven Systems 💠 Unit Tests | End2End Tests | PyTest | Selenium | Cypress 💠 Agile & Scrum | Jira | Trello 💠 Authentication & Security (OAuth2, JWT, Role-Based Access) 💠 ETL Pipelines | Data Engineering | Airflow 💠 System Design & Architecture 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H 💥 If you think we might work well together, feel free to contact me.💥