Cherukuri Laxmi

Available to hire

I’m a GenAI Engineer and Python developer with 1+ year of internship and project experience where I build prototype and automation-ready AI solutions.

About

I’m a GenAI Engineer and Python developer with 1+ year of internship and project experience where I build prototype and automation-ready AI solutions. I work with Python and SQL to preprocess data, design prompt flows, and create end-to-end pipeline components for user-focused outputs using tools like Jupyter, Git, and transformer-based NLP.

I’ve also worked on GenAI hackathon and independent projects, including translating medical report text into Telugu-friendly explanations while preserving meaning and clinical context. I enjoy turning manual processes into reliable scripts, validating data before it reaches analytics, and collaborating with teams to improve turnaround time for real-world reporting and workflows.

Industry experience

  • Education
  • Software & Internet
  • Healthcare
  • Financial Services

Projects · 1

Lingo Bridge AI - Medical Report Translator + AI Health Assistant

A GenAI-powered healthcare accessibility tool designed for Telugu-speaking patients. It converts complex English medical reports into simple Telugu and provides intelligent alerts.

Problem Solved: Rural patients in AP/Telangana struggle to understand English medical reports. Critical diagnoses are often missed due to language barriers.

Key Features I Built:

  1. Report Translation: Uses Prompt Engineering + LLM to translate medical reports (Blood tests, X-Ray, MRI summaries) from English to simple, non-technical Telugu.
  2. Critical Alert System: If a severe condition is detected (e.g., keywords related to critical illness), the system automatically triggers an alert workflow to contact registered family members via API (SMS/WhatsApp integration ready).
  3. AI Health Suggestions: Provides general wellness suggestions, diet precautions, and next-step guidance based on the report (with clear disclaimer: for information only, not a medical diagnosis).
  4. Data Pipeline: Built an ETL pipeline in Python (pandas, regex) to extract text from messy PDFs/scanned reports, clean it, and store in PostgreSQL.

Tech Stack: Python, Prompt Engineering, LLMs, Regex, ETL, SQLite/PostgreSQL, API Integration (Twilio/WhatsApp), Data Validation

Disclaimer: This is a support tool, not a replacement for a doctor’s advice.

Impact: Makes healthcare reports understandable for 80M+ Telugu speakers and ensures families are informed during emergencies.

  • AI Engineer
  • AI Prompt Engineer
  • Data Analyst
  • +2

Work experience

Python Developer Intern · Global education technologyJan 2024 – Jan 2025 · 1 yr 1 mo

Worked on Python automation and SQL-backed data tasks for an education-learning platform and internal analytics. Developed preprocessing scripts using pandas and regex to validate and clean student/course data, reducing manual effort during content ingestion. Built SQL queries and simple ETL routines to ingest and normalize learning activity records into a SQLite/PostgreSQL-compatible schema for reporting. Integrated small Python utilities into shared Git repositories and documented usage in Jupyter notebooks to make scripts reusable. Collaborated with product and content teams to replace Excel workflows with automated scripts, improving data readiness and reducing turnaround time for weekly reporting. Added basic unit checks and data profiling to catch schema mismatches and missing values before analytics pipelines, improving data reliability. Assisted with prototyping an API-driven data export for internal dashboards using Python requests.

Python Developer Intern · Global education technology (company name not specified)Jan 2024 – Jan 2025 · 1 yr 1 mo

Developed Python automation scripts (using pandas and regex) to preprocess and validate student/course data, reducing manual data cleaning effort during content ingestion. Built SQL queries and lightweight ETL routines to ingest and normalize learning activity records into a SQLite/PostgreSQL-compatible schema for reporting. Integrated automation utilities into shared Git repositories and documented usage in Jupyter notebooks to keep workflows reproducible for other interns and engineers. Collaborated with product and content teams to translate Excel-based processes into automated scripts, improving data readiness and turnaround time for weekly reports. Added basic data profiling and unit checks to catch missing values and schema mismatches before data reached analytics pipelines, improving reliability. Assisted in prototyping an API-driven data export using Python requests to support internal dashboards and smoother data handoff between platform services and analytics consumers.

Education· 9

Bachelor of Science (Computer Science) · Kiranmayi Degree College2022 – 2025
Intermediate (MPC) · Mahendra Junior College2020 – 2022
SSC (Class 10) · Viswa Bharathi School2019 – 2020
Bachelor of Science (Computer Science) · Kiranmayi Degree College2022 – 2025

Testimonials · 5.0 from 1 review

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