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Akshan VermaAV
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Akshan Verma

@akshanverma

AI engineer who built agentic workflows at Gabeo AI, raising accuracy from 84% to 92% and cutting latency by 40%.

India
Message

At Gabeo AI, I engineered an end-to-end agentic workflow using LangGraph, LangSmith, and MCP servers, raising accuracy from 84% to 92% and cutting latency by 40%. I also used Vertex AI to build and deploy AI models and developed a RAG pipeline for extracting healthcare policies from PDFs.

At VectoScalar Technologies, I developed generative AI agent features and an LLM-based student question-answering application that reached 92% accuracy. My projects include a personal finance agent for budgeting and fraud detection and an AI-driven API rate limiter using traffic prediction.

Experience

Work history, roles, and key accomplishments

VT

Generative Artificial Intelligence Intern

VectoScalar Technologies

Nov 2024 - May 2025 (6 months)

Developed generative AI-powered agentic features using Langchain and Autogen, including a workflow tool that reduced development effort by an estimated 30-40%. Built an LLM-based question-answering application for students, achieving a 92% accuracy rate in answer generation.

DO

AI Robustness Testing Research Intern

Defence Research and Development Organisation

Nov 2023 - Jan 2024 (2 months)

Conducted robustness testing of TensorFlow-based AI models, identifying vulnerabilities and failure points, and improved model robustness by 6% through adversarial training. Integrated robustness testing into the TensorFlow-based AI development lifecycle for streamlined testing and earlier vulnerability detection.

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology, Chennai logoVC

Vellore Institute of Technology, Chennai

B.Tech, Computer Science and Engineering

2021 - 2025

Pursued a B.Tech in Computer Science and Engineering, covering coursework in data structures, algorithms, machine learning, and artificial intelligence.

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