Medarametla S.

𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐰𝐢𝐭𝐡 𝟓+ 𝐲𝐞𝐚𝐫𝐬 𝐜𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐀𝐈 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐡𝐚𝐭 𝐜𝐮𝐭 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐭𝐢𝐦𝐞 𝐛𝐲 𝟒𝟎%, 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐚𝐧𝐝 𝐝𝐫𝐢𝐯𝐞 𝐦𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐠𝐫𝐨𝐰𝐭𝐡.I design and deploy scalable LLM solutions, custom generative AI systems, and intelligent automation for modern businesses. I design and deploy end-to-end 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐬𝐨𝐥𝐯𝐞 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐟𝐫𝐨𝐦 𝐜𝐮𝐬𝐭𝐨𝐦 𝐋𝐋𝐌 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐌𝐋 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 that deliver measurable ROI. I focus on building high-performance, production-ready solutions that reduce costs, streamline workflows, and drive revenue growth. 🧠 𝑪𝒐𝒓𝒆 𝑬𝒙𝒑𝒆𝒓𝒕𝒊𝒔𝒆 ➤𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐋𝐋𝐌𝐬 ⭲Custom GPT models (GPT‑4o, GPT‑3.5, fine‑tuning, RAG pipelines) ⭲LLaMA, Mistral, BERT, and domain‑specific language models ⭲Advanced prompt engineering, agentic workflows, and multi‑tool orchestration ⭲Vector search & retrieval systems using Pinecone, Weaviate, FAISS, ChromaDB ⭲LangChain‑based pipelines for knowledge assistants, chatbots, and document intelligence ➤𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐌𝐋𝐎𝐩𝐬 ⭲Predictive modeling (XGBoost, LightGBM), recommendation engines, NLP, computer vision ⭲PyTorch, TensorFlow, Keras, Hugging Face, Transformers ⭲End‑to‑end MLOps: CI/CD, Docker, Kubernetes, FastAPI/Flask microservices ⭲Cloud ML platforms: AWS SageMaker, GCP Vertex AI, Azure ML, Databricks ⭲ETL & workflow orchestration with Airflow, PySpark, and cloud‑native tools ➤𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐀𝐮𝐝𝐢𝐨 ⭲Object detection (YOLO, Faster R‑CNN), segmentation (UNet, DeepLab) ⭲OCR & document intelligence (Azure Form Recognizer, Google Document AI, Tesseract) ⭲Image analysis, facial attribute detection, medical imaging ⭲Speech‑to‑text (Whisper, Google/Azure speech APIs), sound classification, voice‑enabled assistants ➤𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 ⭲Scalable API development (FastAPI, Flask, Streamlit) with Redis caching for low‑latency inference ⭲Vector database integration, model optimization, and cost‑efficient LLM routing ⭲Multi‑cloud and hybrid deployments (AWS/GCP/Azure) with Kubernetes orchestration ⭲API integrations: REST, GraphQL, WebSockets, OAuth/JWT; Twilio, Slack, Stripe, CRM systems 🌟 𝑷𝒓𝒐𝒗𝒆𝒏 𝑹𝒆𝒔𝒖𝒍𝒕𝒔 ➛𝐅𝐢𝐧𝐭𝐞𝐜𝐡 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Reduced KYC document processing by 𝟔𝟎% 𝐮𝐬𝐢𝐧𝐠 𝐎𝐂𝐑 + 𝐍𝐋𝐏 pipelines. ➛𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐒𝐮𝐩𝐩𝐨𝐫𝐭: Deployed LLM‑powered knowledge assistant, cutting ticket resolution 𝐭𝐢𝐦𝐞 𝐛𝐲 𝟒𝟓%. ➛𝐄‑𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: Built recommendation engine increasing conversions by 𝟑𝟐%, generating $𝟓𝟎𝟎𝐊+ additional revenue. ➛𝐓𝐫𝐚𝐯𝐞𝐥 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧:Dynamic pricing AI improved booking rates by 𝟑𝟖% and revenue per customer by$𝟏𝟓𝟎. ➛𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Predictive models enhanced patient outcomes by 𝟐𝟖% while reducing costs by$𝟐𝐌 annually. 🚀 𝑾𝒉𝒂𝒕 𝑰 𝑫𝒆𝒍𝒊𝒗𝒆𝒓 ⯮𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Planner/orchestrator + tools (web search, CRM, calendar, booking integrations) ⯮𝐑𝐀𝐆 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐬: Grounded, faithful responses over PDFs, Notion, websites, emails ⯮𝐂𝐮𝐬𝐭𝐨𝐦 𝐅𝐢𝐧𝐞‑𝐓𝐮𝐧𝐢𝐧𝐠: Domain‑optimized LLMs (LoRA, PEFT) and Stable Diffusion (DreamBooth, LoRA) ⯮𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: End‑to‑end automations using n8n, Zapier. ⯮𝐅𝐮𝐥𝐥‑𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐒𝐚𝐚𝐒: Scalable backends, dashboards (Streamlit, Dash), and real‑time data pipelines ⯮𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 & 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Time‑series analysis, signal evaluation, and live trading/forecasting endpoints 📂 𝑻𝒆𝒄𝒉𝒏𝒊𝒄𝒂𝒍 𝑬𝒙𝒄𝒆𝒍𝒍𝒆𝒏𝒄𝒆 𝐌𝐲 𝐆𝐢𝐭𝐇𝐮𝐛 𝐩𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐢𝐧𝐜𝐥𝐮𝐝𝐞𝐬 𝟏𝟓+ 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧‑𝐠𝐫𝐚𝐝𝐞 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬 𝐰𝐢𝐭𝐡 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐛𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤𝐬, 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐠𝐮𝐢𝐝𝐞𝐬, 𝐚𝐧𝐝 𝐥𝐢𝐯𝐞 𝐀𝐏𝐈 𝐝𝐞𝐦𝐨𝐬. 𝐄𝐯𝐞𝐫𝐲 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐢𝐬 𝐛𝐚𝐜𝐤𝐞𝐝 𝐛𝐲 𝐜𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧, 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐦𝐞𝐭𝐫𝐢𝐜𝐬, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐛𝐥𝐮𝐞𝐩𝐫𝐢𝐧𝐭𝐬. 🔧 𝑴𝒆𝒕𝒉𝒐𝒅𝒐𝒍𝒐𝒈𝒚 I bring together rigorous experimentation, production-grade MLOps, and outcome-focused deployment to deliver AI systems that are reliable, scalable, and built for real business impact from day one. 𝐇𝐚𝐯𝐞 𝐚𝐧 𝐀𝐈 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞? 𝐒𝐞𝐧𝐝 𝐢𝐭 𝐨𝐯𝐞𝐫 → 𝐈’𝐥𝐥 𝐫𝐞𝐩𝐥𝐲 𝐰𝐢𝐭𝐡𝐢𝐧 𝟐𝟒 𝐡𝐨𝐮𝐫𝐬 𝐰𝐢𝐭𝐡 𝐚 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐚𝐧𝐝 𝐩𝐫𝐨𝐨𝐟-𝐨𝐟-𝐜𝐨𝐧𝐜𝐞𝐩𝐭 𝐫𝐨𝐚𝐝𝐦𝐚𝐩. ⚡