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Hi! I'm TALLURI VENKATA MANISHA.

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"Detail-oriented engineer specializing in backend automation and scalable software solutions."

Ongole, India
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About Me

I am a passionate Software Engineer with 1.6 years of experience in backend automation and database systems. My expertise lies in developing clean, reusable code and implementing efficient RESTful APIs. I thrive in fast-paced environments, committed to delivering high-quality software solutions that meet complex technical challenges.

Professional Experience

Associate Software Engineer

KPIT Technologies
10/2024 – 04/2026
Bengaluru, India
Key Responsibilities & Tech:
  • Engineered custom Python automation scripts to parse, filter, and process high-dimensional radar telemetry and sensor data streams for ADAS validation.
  • Developed algorithmic validation rules to automate labeling analysis and annotation checks.
  • Intercepted corrupted telemetry frames and mapped systemic inconsistencies across incoming datasets.
  • Optimized data pipeline execution steps using pandas and NumPy libraries.
  • Investigated and resolved bug submissions in radar data pipelines, enhancing reliability of sensor outputs.
  • Scaled team verification efficiency by 60% across complex multi-modal data structures.
  • Delivered clean, modular code paths and structured technical documentation for the engineering repository.
  • Enabled seamless regression testing and continuous integration within version-controlled code bases.

Education & Certifications

Academic Background

Bachelor of Technology

Shri Vishnu Engineering College For Women
2020 – 2024
8.87

Featured Projects

Radar & Data Analytics

Radar & Data Analytics

Tech Stack: Python, Pandas, NumPy, SQL, OpenPyXL, Data Analysis

  • Wrote custom Python scripts to automate manual data parsing, filtering, and reporting tasks for radar telemetry streams.
  • Automated ingestion and validation of high-dimensional sensor data for ADAS verification workflows.
  • Built reusable testing framework for schema checks, CRUD operations, and backend integrity validation.
  • Enhanced execution efficiency using Pandas and NumPy, improving scalability of radar data pipelines.
  • Applied V&V testing to improve accuracy, boosting team efficiency by 60% across multi-modal datasets.
  • Generated structured reports from processed radar datasets, reducing manual effort and ensuring consistent documentation.
Tech Stack: PythonPandasNumPySQLOpenPyXLData Analysis
Bus Ticket Booking Application

Bus Ticket Booking Application

Tech Stack: Django REST Framework + React, OOPS

  • Built a bus booking system with Django REST Framework backend and React frontend, enabling user registration, login, and real-time seat booking.
  • Implemented DRF Token Authentication and role-based permissions to ensure secure access to APIs and user data.
  • Evaluated and fixed API integration bugs during Postman testing, improving booking accuracy and user experience.
  • Designed models, serializers, and booking logic; integrated CRUD operations and error handling for seamless transactions.
  • Developed a responsive React interface with Bootstrap styling, providing smooth seat selection and booking confirmation.
Tech Stack: Django REST Framework + ReactOOPS

Technical Stack

Skills

C
Python
Java
React.js
Node.js
Django RestFramework
Pandas
Numpy
Copilot
Artificial Intelligence
HTML
CSS
JavaScript
MySQL
RAG
Natural Language Processing (NLP)
Machine Learning
Unit Testing
API Testing
Thunder Client
Power BI Desktop
Large Language Models(LLM)
RAG
Data Annotation
Data Analytics
CI/CD Fundamentals
Git
GitHub

Let's Connect

I'd love to hear from you — whether it's a role, a project, or just a chat about tech.

Email

venkatamanisha9@gmail.com
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LinkedIn

Connect for opportunities
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GitHub

Explore my code
Visit GitHub

LeetCode

Find me here
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Awards & Honors

Received 'High-Flyer' Award at KPIT Technologies for excellence in software development and timely delivery.
Achieved 5/5 CSAT from client for timely delivery and error-free work.
Secured 2nd place in a 12-hour Datathon focused on Data Science.
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