Sachin Awati — Software Engineer

🚀 AI & ML Engineer | Transforming Business Challenges into Intelligent Solutions I specialize in building production-ready AI systems that deliver measurable impact. With 2+ years of expertise in LLMs, NLP, and Voice AI, I help organizations unlock artificial intelligence for growth and innovation. Currently at DataSpark AI Solutions, architecting cutting-edge AI solutions for real-world problems. 💡 Core Expertise 🔹 LLMs : Fine-tuning LLaMA, Qwen, DeepSeek | RAG techniques | Prompt engineering 🔹 Production AI : End-to-end ML pipeline | Dockerized FastAPI services 🔹 Voice AI : STT/TTS models | Voice cloning | Real-time processing 🔹 MLOps : CI/CD pipelines | Vector databases | Scalable deployment 🔹 Frameworks: Pytorch, LangChain, LangGraph, Transformers, Agentic AI 🎯 Proven Impact ✅ Built 3 Production Platforms serving real users with automated assessment. ✅ Deployed LLM Solutions for IELTS prep and interview simulation. ✅ Engineered Voice AI with human-like interactions. ✅ Led Cross-Functional Teams in Agile environments, mentoring interns. ✅ Delivered Business Results through predictive analytics. 🏆 Featured Projects 🎓 IELTSGenAI → AI-powered speaking, reading, listening, writing assessment and speaking playground with band scoring and personalized feedback to user. 💼 InterVu.in → Interview preparation with real-time feedback. 📚 AI Education Suite → Personalized tutoring for competitive exams. 🎖️ Credentials Certified Data Scientist (IABAC & NASSCOM) | B.E. Information Science (VTU) 🤝 Ready for Your Next Challenge I solve complex problems with innovative AI solutions. Whether implementing LLMs, building automation, or scaling AI operations, I deliver both technical excellence and business value. 🔥 Currently exploring new opportunities to drive AI transformation. Let's connect if you're ready to leverage AI for business growth!

Stackforce AI infers this person is a SaaS AI Engineer specializing in MLOps and AI solutions.

Location: Bengaluru, Karnataka, India

Experience: 1 yr 8 mos