Jasmine Ansari

Generative AI Engineer & Data Scientist (2.6 Years Experience) High-Impact Architect specializing in Agentic Workflows, NER models, Agent based generic Multi-Step Tool Execution, AI Employee, LLM Fine-Tuning (LLaMA/Qwen/IBM granite), and RealTime Inference. As a Data Scientist at Visionwaves, built Enterprise systems including a Real-Time Avatar (<160ms latency) and Automated Prompt Optimization pipelines (33% lift). Holds a B.Tech from Bharati Vidyapeeth University (9.5 CGPA) and an Advanced AI Certification from IIT Roorkee.

Associate Software Engineer (Data Scientist) at Visionwaves (2024-11 – 2026-06)

• Architected a custom NER & Semantic Extraction pipeline achieving 96% accuracy, deployed via vLLM to optimize production inference latency to 160ms.
• Developed a real-time interactive AI avatar capable of live streaming, facilitating natural language conversations with dynamic responses and improving user engagement metrics
• Integrated Opik with custom Levenshtein metrics to validate tool-calling accuracy, resolving API routing conflicts to achieve a 33% performance lift.
• Fine-tuned a custom LLM to handle agent based generic Multi-Step Tool Execution. The model is trained to decompose complex user goals into a sequential JSON execution plan, enabling the Master Agent to autonomously chain multiple tool calls from that json execution plan, with an accuracy of 95%.
• Architecting an end-to-end Autonomous AI Employee system on a multi-agent platform, bridging ITSM and Project Management. Engineering the event-driven infrastructure, seamlessly integrating multi-agent logic with a full-stack UI, Telegram routing, and autonomous email pipelines.

Data Scientist Intern at WNS Global Services Pvt. LTD. (2024-10 – 2024-11)

• During my Data Scientist Internship, I developed a system using the llama-3.1-8b-instant model to analyze employee feedback, identify dissatisfaction themes, and generate actionable insights that enhanced employee satisfaction by 30%.

Data Analyst at Champaran Foundation (2023-07 – 2024-05)

• In my Data Analyst job, I utilized Python to analyze data, collecting data through surveys, and identifying patterns within the data. My efforts contributed to the Foundation's understanding of key trends and informed decision-making processes.

Bachelor Technology in Information Technology – Bharati Vidyapeeth Deemed to be University (2020 – 2024)

Executive Post Graduation in Advanced Data Science and AI – IIT Roorkee (Intellipaat) (2023 – 2024)