Yakshi Rami — AI Researcher

I am a Software Development Engineer with a 9.71 CGPA and a background as a Girlscript Summer of Code (GSSoC) Scholar. I specialize in building high-concurrency backend architectures and intelligent systems that bridge the gap between complex AI research and production-grade software. My engineering philosophy is rooted in technical rigor and efficiency—I don't just write code; I architect solutions that scale. Whether it's optimizing FastAPI backends for a 40% performance boost or fine-tuning LLMs for automated regulatory compliance, I focus on delivering measurable ROI through clean, maintainable code. 🚀 Engineering Impact & SDE Core: ● Scalable Backends: Led development for a real-time platform, achieving a 40% API performance improvement and 50% reduction in downtime. ● System Reliability: Reduced deployment errors by 30% by designing and implementing rigorous API testing protocols. ● Full-Stack Innovation: Developed a PDF review dashboard using the MERN stack, implementing a modular monorepo architecture for scalability. ● Distributed Logic: Engineered low-latency inference services during GSoC to serve optimized models via synchronous APIs. 🤖 AI/ML & Generative AI Expertise: ● LLM Orchestration: Built AI agents for contract compliance and video transcription using LangChain, Groq, and OpenAI. ● ML Pipelines: Engineered AI/ML pipelines that boosted training efficiency by 35% and improved model accuracy by 18%. ● Advanced RAG: Proficient in RAG Architecture, Vector Databases (FAISS), and Prompt Engineering to build context-aware AI solutions. ⚡ Operational Efficiency: ● Automation: Constructed data pipelines that cut preprocessing time by 25% and used reusable scripts to reduce manual tasks by 30%. ● Technical Leadership: Mentored peers as Technical Head of the Theory Club, leading workshops on Data Structures and Algorithms (DSA). 🛠️ Technical Stack: ● Languages: Python, JavaScript, TypeScript, C++, Java, SQL. ● Frameworks: FastAPI, Django, React, Node.js, Spring Boot. ● AI/ML: PyTorch, TensorFlow, LangChain, Gemini API, HuggingFace. ● Tools: AWS, GCP, Docker, MongoDB, PostgreSQL, Git. I thrive in high-stakes environments where I can solve "impossible" architectural challenges. Let's build something that performs. 📩 yakshirami11@gmail.com

Stackforce AI infers this person is a Backend-focused AI/ML Engineer with strong capabilities in scalable systems.

Location: Vadodara, Gujarat, India

Experience: 6 mos