Yash Sharma
Recent Graduate from Thapar Institute of Engineering & Technology | Software Engineer Intern @ Renxo Technologies | Golang Backend | LLMs | LangChain | REST APIs | WebSockets
- Role
- Software Engineer at Renxo Technologies
- Location
- Karnal, HR, IN
- LinkedIn followers
- 500 followers
About Yash Sharma
I’m a motivated and detail-oriented Computer Engineering graduate from Thapar Institute of Engineering and Technology, passionate about solving real-world problems using data-driven and AI-powered solutions. I bring strong hands-on experience in Python, Go, and machine learning frameworks such as TensorFlow, Scikit-learn, and Keras. During my internship at Renxo Technologies, I contributed to backend development using Golang and helped build intelligent features including OCR-based shipment label readers and natural language interfaces powered by large language models (LLMs).My academic and project portfolio includes building a highly accurate handwritten Punjabi character recognition system using transfer learning with VGG16, customer segmentation dashboards using K-Means clustering and Streamlit, and disease prediction models using multiple supervised learning techniques. I’m also recognized as a Kaggle Notebooks Expert for my contributions to the data science community.I thrive in both collaborative and independent settings, combining technical proficiency with a strong sense of initiative, adaptability, and communication. My goal is to contribute to innovative and impactful projects that leverage AI, data science, and software engineering to create meaningful value.
Experience
Software Engineer
Feb 2025 — Present · Karnal, IN
Worked on building scalable backend systems using Golang, focusing on both RESTful APIs and WebSocket-based microservices to enable real-time data flow and efficient client-server communication. Developed a shipment label reader that automated the extraction and parsing of logistics data from PDFs and images, significantly enhancing operational accuracy and speed.Also contributed to fine-tuning local Large Language Models (LLMs) to align with domain-specific requirements. Integrated these LLMs into the backend using LangChain, enabling advanced features such as natural language query processing, semantic search, and context-aware document interaction. Gained practical experience in concurrent backend architecture, custom LLM pipelines, and deploying AI-powered features in production.
Education
Thapar Institute of Engineering & Technology
Bachelor of Engineering - BE
2021
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