V

VENKATESH GAJJELA

Software Engineer

Hyderabad, Telangana, India1 mo experience

Key Highlights

  • Finalist in Smart India Hackathon 2024.
  • Developed innovative AI solutions for real-world challenges.
  • Strong foundation in machine learning and data analysis.
Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI solutions in the Education sector.

Contact

Skills

Core Skills

Machine LearningGenerative Ai

Other Skills

Retrieval-Augmented GenerationOCRFlaskAWSTesseractPyMuPDFData EngineeringData PipelinesAmazon RedshiftAmazon S3Extract, Transform, Load (ETL)Big DataAWS GluePrompt EngineeringResponsible AI

About

Smart India Hackathon 2024 Finalist with a passion for using data and AI to solve real-world problems. Enthusiastic tech learner and aspiring machine learning professional, driven by curiosity and continuous learning. Recently completed B.Tech in Computer Science, and currently working as a Machine Learning Intern at SmartBridge Educational Services Pvt. Ltd., where I apply machine learning concepts to real-life challenges. ✅ Projects Face Recognition-Based Attendance System Built a machine learning system to automate classroom attendance using facial recognition. Integrated Twilio API to send real-time SMS notifications to parents when students are absent. This project reflects my interest in computer vision and automation to solve practical problems in education. Tools Used: Python, OpenCV, Face Recognition Library, SQL, Twilio API AI Job Market Analysis Developed a tool to predict salaries based on job roles, skills, and location using machine learning models. Created dashboards in Power BI to visualize in-demand technologies and average salaries. This project helped me improve skills in data preprocessing, K-Fold validation, GridSearchCV, and data visualization. Tools Used: Python, pandas, scikit-learn, XGBoost, Random Forest, Linear Regression, Power BI Skin Cancer Classification System Designed a deep learning model using EfficientNetB0 with GLCM-based texture features to classify dermoscopic images. Created a simple GUI using Tkinter for uploading images and displaying predictions. This project reflects my interest in applying AI to healthcare in a user-friendly and meaningful way. Tools Used: Python, TensorFlow/Keras, EfficientNetB0, GLCM, Tkinter, OpenCV I enjoy working on projects that turn data into useful insights and ideas into working solutions. I have a deep interest in Python, data analysis, machine learning, and deep learning, and I constantly look for opportunities to learn and grow. In addition to my degree, I’ve completed certifications in: Python SQL Data Structures & Algorithms Networking Cloud Technologies I have also participated in national-level hackathons like SIH, Yukti, and Kavach, which helped me improve my skills in teamwork, communication, and real-time problem-solving. 📫 Let’s Connect If you're looking for someone who brings technical skills, along with enthusiasm, creativity, and a commitment to growth, I’d love to connect and explore opportunities to collaborate on projects that create real impact.

Experience

1 mo
Total Experience
--
Average Tenure
--
Current Experience

Tata consultancy services

Systems Engineer

May 2026Present · 1 mo · Hyderabad · On-site

The smart bridge educational services pvt. ltd.

AIML Intern

May 2025Apr 2026 · 11 mos · Hyderabad · On-site

  • Working on real-world AI systems including an Automated Certificate Verification System and a Smart Session Agent (Agentic AI-based Online Class Support Agent).
  • Designed and implemented Agentic AI workflows to extract student questions from Zoho Webinar and Google Meet chat logs and generate accurate responses using Generative AI and Retrieval-Augmented Generation (RAG).
  • Built OCR-based automation pipelines using Tesseract OCR and PyMuPDF to extract and validate text from PDFs and images, significantly reducing manual verification effort.
  • Developed end-to-end machine learning pipelines for data preprocessing, model training, evaluation, and performance optimization.
  • Integrated Flask-based REST APIs for scalable deployment and automated delivery of personalized responses via email.
  • Worked with AWS services and secure API workflows to ensure reliability, scalability, and maintainability of AI solutions.
Machine LearningGenerative AIRetrieval-Augmented GenerationOCRFlaskAWS

Education

MLRITM

Jan 2021Jan 2025

Stackforce found 100+ more professionals with Machine Learning & Generative Ai

Explore similar profiles based on matching skills and experience