Isha Wagh

I'm a final year B.Tech student in Computing and Data Science with a minor in Economics, graduating in May 2027.

My primary interest is in AI/ML and agentic systems - building things that go beyond static models into systems that can reason, plan, and act. My interests span machine learning, agentic AI, data visualisation, and backend engineering. I enjoy working across the full arc of a project - from raw data to deployable systems - and I'm equally comfortable diving into research or shipping something production-ready.

Beyond the technical side, I care about how data and technology connect to broader domains like economics, labour markets, and the environment. I value clear communication, collaborative teams, and work that has tangible meaning.

Always open to conversations around applied AI, agentic systems, and meaningful uses of data.

AI/ML Intern at mFunnel.ai (2026-06 – 2026-07)

• Built a voice-based customer service bot with Pipecat, Google Cloud STT, Gemini LLM via Vertex AI, and Google Cloud TTS; cut response latency from ~2s to under 1s via model optimization and prompt engineering, and deployed on Azure with Exotel telephony for live phone-call support.
• Built a reusable video-generation engine in React, TypeScript, Puppeteer, and FFmpeg with modular scenes, frame-by-frame rendering, and AI voiceover integration.

AI Engineering Intern at HummingBird Digital Pvt. Ltd. (2026-06 – 2026-07)

• Built a multi-supplier hotel mapping engine with a hybrid rule-based + AI pipeline (geographic distance, name/address similarity, Sentence Transformer embeddings) to consolidate records into a unified master database, with PostgreSQL/PostGIS/pgvector spatial indexing.
• Built scalable async batch processing (FastAPI, Celery, Redis) and Auto Match / Manual Review / New Master workflows; benchmarked against reference mappings to improve accuracy and reduce cluster-splitting and over-merging.

Data Analyst and Visualisation Intern at WageIndicator (2025-05 – 2025-07)

• Built interactive dashboards in Tableau and Flourish to communicate socio-economic trends across multi-country datasets to non-technical stakeholders.
• Cleaned and standardized large datasets using Python and Excel; performed regression analysis to surface policy-relevant insights.

Bachelor of Technology in Computing and Data Science – Sai University (2023-08 – 2027-05)