Sahana Mecheri
AI Engineer
3years of work
3projects
Master’sUniversity of Texas at Dallas
B2English
Overview
Aspiring Data & AI Engineer pursuing a Master’s in Business Analytics and AI. Has internship experience combining data-driven analysis with business workflows, including RFID asset tracking dashboards and maintenance workflow optimization. Built RAG-based portfolio projects including a supply chain risk monitoring system and an AI recipe assistant.
Timeline
Marketing Hybrid Analyst Intern
·
Junior
TNT Dental
·
Full-Time
Performed keyword research and supported keyword selection and recommendations. Conducted competitive analysis and produced reporting for paid search campaign results. Helped implement standards for campaign architecture, including offers, search listings, and landing pages for promotions. Worked in a hybrid setup during the internship.
Vellore Institute of Technology (VIT)
Bachelor's Degree ·
Electronics and Communication Engineering
SME RFID Intern
·
Junior
DXC Technology
·
Full-Time
Built a proof-of-concept RFID-based asset tracking system to improve data accuracy and accessibility. Created dashboards, workflows, and test cases to support compliance and audit activities, reducing reporting time. Performed ROI and sustainability analysis identifying cost savings and e-waste reduction. Coordinated with cross-functional stakeholders to align the solution with business objectives.
Engineering Intern
·
Junior
Bangalore International Airport
·
Full-Time
Documented and standardized maintenance workflows to improve operational efficiency. Evaluated the Visual Docking Guidance System (VDGS) to improve insights for aircraft turnaround across high daily flight volumes. Supported data-driven decision-making by analyzing system performance and operational metrics. Assisted with engineering documentation and reporting needs during the internship period.
University of Texas at Dallas
Master's Degree ·
Business Analytics and AI
Projects
RiskPulse
Built an AI-driven supply chain risk monitoring system using RAG to generate real-time risk insights. Integrated LLM pipelines with both structured and unstructured data sources. Focused on translating multiple data formats into actionable, up-to-date risk outputs.
Ragtatouille
Developed an AI recipe assistant using RAG for contextual recipe recommendations. Implemented LLM-based retrieval and response generation to handle real-time user queries. Designed the system to ground responses in relevant information retrieved for each request.
Wideband Low Noise Amplifier Design
Designed and simulated a wideband low-noise amplifier (LNA) using 65nm technology. Reviewed research papers to guide the design methodology and optimization approach. Published results with performance benchmarks that exceeded prior studies by a stated margin.
Technical skills
C++
Python
SQL
C
MATLAB
AI/ML
LLM
Claude
NumPy
Scikit-learn
Cursor
Model Context Protocol
Machine Learning
RAG
Prompt Engineering
Databases
PostgreSQL
MySQL
Amazon Aurora
DevOps
AWS
Rest API
Chips/EDA
Cadence Virtuoso
Job preferences
- Work permits
- United States, India
- Citizenship
- India
- Employment type
- Full-Time
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