Trishala Venkatesh

About

Results-driven AI engineer specializing in generative AI systems, LLM orchestration, and voice AI frameworks. Experience includes production-grade multi-agent architectures, RAG solutions, and low-latency speech-to-text and telephony backends.

Experience

• AI Engineer Intern
  Ton Technology Services · Bengaluru
  Dec 2025 – May 2026

  Engineered production-grade voice infrastructures utilizing ElevenLabs and Sarvam AI TTS, achieving sub-2-second end-to-end latency for real-time telephony interactions. Deployed custom SIP trunking solutions with LiveKit and Twilio, containerizing services via Docker and reducing deployment setup time by 50% through reusable infrastructure-as-code templates. Spearheaded an automated appointment-booking workflow that parsed temporal parameters from live speech to orchestrate Google Calendar events, minimizing manual scheduling overhead by 80%.

• AI Research Intern
  Samsung Innovation Campus · Bengaluru
  Jun 2025 – Aug 2025

  Optimized deep learning and vision transformer configurations, accelerating runtime inference by 40% while boosting model accuracy by 15%. Executed INT8 quantization and structured pruning methodologies, compressing model footprints by 30% while preserving a 98% accuracy threshold. Benchmarked 10+ DNN and RNN frameworks against latency, throughput, and memory metrics to engineer optimal deployment paths for resource-constrained hardware profiles.

Education

• Bachelor of Technology
  Presidency University
  AI and Data Science · Aug 2022 – May 2026

Skills

Tools / apps / platforms

Projects

• PR Helper Extension
  JavaScript, Chrome Extension API

  Open-source productivity extension that generates pull request breakdowns, contextual code reviews, and commit histories directly from raw git diff structures.

• Budget-Based Lead Routing Automation
  n8n, OpenAI API

  Data-driven lead qualification pipeline that uses LLM-based parsing to classify inbound profiles by financial tier and trigger CRM workflows without manual intervention.

• ResearchMind
  LangChain, LangGraph, FastAPI, Groq, Tavily

  Multi-agent knowledge extraction framework with role-based LangGraph nodes and custom data adapters for web crawling, PDF mining, and SQL querying.

• AutoPilot-DevAgent
  LangChain, Python, FastAPI

  Autonomous development framework leveraging the OpenAI API and LangChain with ReAct-style reasoning, tool execution, and structured JSON schemas to handle end-to-end software lifecycles.

Courses & certifications

• Google Cloud Generative AI · Google Cloud
• IBM RAG and Agentic AI · IBM
• NVIDIA AI Infrastructure · NVIDIA

🏆 Achievements & awards

• Best Paper Presenter Award · 2026

  Received for FC-TABGAN: A New Framework to Handle Biases in Datasets to Detect Credit Card Fraud at IEEE ICIICS-2026.

⚽ Extracurricular activities

• AI Co-Lead, GDG On Campus

  Directed 15+ specialized technical workshops on Large Language Models, Retrieval-Augmented Generation, and speech agents for over 100 developers.

• President, IEEE Women in Engineering

  Orchestrated development strategy for a 100+ member community and executed 20+ core STEM initiatives.

• Hackathon Organizer, NammaSuraksha

  Coordinated a national-level public safety hackathon with the Karnataka State Police department, managing product submissions from 200+ hackers.

• Google Developer Program Member

  Member of Google's community program collaborating on cloud, artificial intelligence, and systems engineering frameworks.

📚 Publications

• FC-TABGAN: A New Framework to Handle Biases in Datasets to Detect Credit Card Fraud · 2026