Amol W.

🏆 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 — 𝐓𝐨𝐩 𝟏% 𝐨𝐟 𝐔𝐩𝐰𝐨𝐫𝐤 𝐓𝐚𝐥𝐞𝐧𝐭 💰 $𝟓𝟎𝟎𝐊+ 𝐄𝐚𝐫𝐧𝐢𝐧𝐠𝐬 | 𝟖𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 | 𝟖,𝟎𝟎𝟎+ 𝐇𝐨𝐮𝐫𝐬 ⭐ 𝟏𝟎𝟎% 𝟓-𝐒𝐭𝐚𝐫 𝐑𝐞𝐯𝐢𝐞𝐰𝐬 | 𝐙𝐞𝐫𝐨 𝐍𝐞𝐠𝐚𝐭𝐢𝐯𝐞 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 ☁️ 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐀𝐖𝐒 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 I am a 𝐋𝐞𝐚𝐝 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 10+ 𝐲𝐞𝐚𝐫𝐬 of experience across 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐋𝐏, 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐋𝐋𝐌𝐬, 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬, 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬, and production AI engineering. Clients rely on me to build 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬- not just demos or API wrappers. My focus on reliability, scalability, security, and measurable business outcomes has helped me maintain 𝟏𝟎𝟎% 𝟓-𝐬𝐭𝐚𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐬 with no negative feedback on Upwork, a track record rarely seen among freelancers with a comparable volume of completed work. I can develop a complete 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭- from solution architecture and model development to backend, frontend, cloud deployment, monitoring, and scaling- or integrate an AI solution directly into your existing applications and business workflows. 🎙️ 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 ➜ Built and productionized multiple real-time AI voice agents using 𝐋𝐢𝐯𝐞𝐊𝐢𝐭 ➜ AI voice receptionists, customer support agents, sales agents, appointment-booking agents, and voice assistants ➜ Low-latency speech-to-speech conversations, natural turn-taking, interruption handling, and voice activity detection ➜ Function calling, call routing, telephony integration, human handoff, and workflow automation ➜ Integration with STT, TTS, LLMs, APIs, CRMs, databases, and enterprise knowledge bases ➜ LiveKit Agents, Deepgram, OpenAI Realtime, ElevenLabs, Amazon Polly, Claude, and AWS Bedrock 🤖 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 ➜ Agentic AI systems using LangGraph, AutoGen, CrewAI, and custom orchestration frameworks ➜ Multi-agent workflows, tool calling, memory, planning, human-in-the-loop, and autonomous task execution ➜ Custom AI chatbots and copilots using OpenAI, Claude, AWS Bedrock, Llama, Mistral, and Qwen ➜ RAG pipelines, semantic search, hybrid retrieval, reranking, vector databases, and knowledge assistants ➜ Document intelligence, natural-language-to-SQL, structured data extraction, and workflow automation ➜ LLM evaluation, guardrails, prompt engineering, structured outputs, and hallucination reduction 📊 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 ➜ Predictive modelling, classification, regression, clustering, and anomaly detection ➜ Time-series forecasting, demand forecasting, customer segmentation, and churn prediction ➜ Recommendation engines, ranking systems, personalization, and similarity matching ➜ Sentiment analysis, text classification, topic modelling, summarization, and information extraction ➜ Computer vision, object detection, image classification, motion tracking, and scene recognition ➜ Feature engineering, model evaluation, explainable AI, experimentation, and MLOps 🧠 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 ➜ Fine-tuning LLMs for domain adaptation, Q&A, classification, extraction, legal, medical, and enterprise use cases ➜ Synthetic dataset generation, training-data preparation, and evaluation frameworks ➜ LoRA, QLoRA, supervised fine-tuning, and instruction tuning ➜ Production deployment using vLLM, Hugging Face, AWS, GCP, RunPod, Docker, and serverless infrastructure ☁️ 𝐀𝐖𝐒 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈 ➜ AWS Bedrock, SageMaker, Lambda, API Gateway, ECS, ECR, S3, RDS, DynamoDB, and OpenSearch ➜ Secure, scalable, multi-tenant AI applications and data pipelines ➜ Python, FastAPI, PostgreSQL, Redis, MongoDB, and vector databases ➜ Monitoring, model evaluation, latency optimization, cost control, and production support Whether you need a complete 𝐀𝐈 𝐒𝐚𝐚𝐒 𝐩𝐫𝐨𝐝𝐮𝐜𝐭, an 𝐀𝐈 𝐜𝐨𝐩𝐢𝐥𝐨𝐭, a 𝐯𝐨𝐢𝐜𝐞 𝐚𝐠𝐞𝐧𝐭, a predictive ML system, or an AI capability integrated into your existing workflow, I can take it from idea to a secure, scalable, and production-ready solution.