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Tanisha Jayabalan

@tanishajayabalan

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I build AI/ML systems, LLM applications, and full-stack platforms from data pipelines to interactive products.

India

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What I'm looking for

I'm looking to build AI/ML systems and full-stack products end to end, especially applications involving LLMs, ML pipelines, evaluation, and real-world simulation.

I've built LLM-powered query tools at Neysa Networks, translating natural-language requests into executable SQL and Elasticsearch queries with Python, LangChain, and Streamlit. I also created red-teaming scripts and evaluation metrics to test model robustness and LLM-as-a-Judge reliability.

My projects include Pulse, a closed-loop personalization engine combining LightGBM, FAISS, Sentence Transformers, Llama 3.3, FastAPI, and React to produce explainable next-best-action recommendations. I also engineered UIDT, a digital-twin platform that simulates traffic interventions across a Bangalore corridor using SUMO and geospatial tools.

I've built fault-tolerant infrastructure with Docker, Nginx, Tailscale, Prometheus, Grafana, and Twilio, along with multimodal Parkinson's screening and a 16-bit LC-3 virtual machine in C. I enjoy taking AI and systems projects end to end, from modeling and evaluation to usable interfaces.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Neysa Networks

Jun 2025 - Jul 2025 (1 month)

Developed an LLM-powered NL2Query app using Python, LangChain, and Streamlit to translate natural-language requests into executable SQL and Elasticsearch queries. Devised red-teaming scripts using Morse encoding and Unicode-based prompt obfuscation to evaluate model robustness and jailbreak susceptibility.

Python Lang Chain Streamlit LLM SQL Elasticsearch Red Teaming Evaluation