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Manaswini Gupta
@manaswini_ai
AI Engineer
India
Hindi, English
About me
I'm an AI/ML Engineer specializing in Generative AI, RAG, AI Agents, and production ML systems. I help startups and businesses turn AI ideas into reliable, production-ready solutions. I've built LangGraph-based agents handling 5K+ monthly queries and optimized ML systems to reduce latency by 60%. I focus on RAG, LLM evaluation, AI automation, FastAPI, AWS, and scalable deployment. Let's build something that works beyond the prototype.
Skills
Manaswini Gupta
Offline •
Average response time: 1 hour
See my services
AI Implementation & Deployment
I will develop multi agent systems
Portfolio
Work experience
Associate AI Engineer
Ascendion • Full-time
Nov 2025 - May 2026 • 6 mos
◦ Re-architected production ML inference services, improving end-to-end latency by 60% while enhancing scalability, reliability, and maintainability. ◦ Drove a 34% improvement in model performance through systematic preprocessing , model evaluation, feature engineering, and hyperparameter optimization — directly improving decision support quality for clinical stakeholders. ◦ Built production-grade ML deployment safeguards (monitoring, reproducibility, rollback, failure recovery). ◦ Drove technical decision-making with cross-functional stakeholders across consulting and client teams.
Data Science Intern
Savart • Full-time
Jun 2025 - Oct 2025 • 4 mos
◦ Developed production-grade RAG services using vector databases, embeddings, retrieval pipelines, and FastAPI endpoints for enterprise applications. ◦ Agent Chatbot: Built a production-grade LangGraph multi-agent bot leveraging function calling, tool orchestration, JSON schema-based structured outputs, and retrieval-augmented generation (RAG), handling 5K+ monthly queries while improving resolution efficiency by 30%. ◦ Implemented evaluation workflows for retrieval quality, response relevance, and model performance monitoring.
AI/ML Engineer Intern
Wolfpack Digital • Full-time
Jan 2025 - May 2025 • 4 mos
◦ AI-Driven Education Platform: Built an AI learning assistant RAG pipelines, GPT-4o, Docling, AWS Bedrock, and evaluation workflows, serving 2K+ users and improving workflow efficiency by 25%. ◦ AI-Powered Matchmaking App: Developed a recommendation engine using hybrid collaborative/content-based ranking with MLflow model monitoring,feature engineering,DynamoDB, improving recommendation quality by 20%.
