GenAI Engineer | LLM Systems | Computer Vision | Distributed AI
🔗 LinkedIn: https://linkedin.com/in/lakshyadubey
📧 lakshya.dubey04@gmail.com
I am an AI-focused Computer Engineering student building production-oriented systems in:
• Large Language Model (LLM) applications
• Retrieval-Augmented Generation (RAG) pipelines
• Computer Vision & Deep Learning
• Distributed AI systems
My work centers on integrating LLMs with vector databases, structured retrieval, and scalable backend architectures to build practical AI systems rather than isolated models.
- LLM-based Question Answering pipelines
- Vector embeddings & semantic retrieval
- Prompt engineering & model orchestration
- LLaMA-3 (GROQ), Pinecone, LangChain
- Transfer Learning (Xception, YOLOv8)
- CNN-based image forensics
- Classical ML (SVM, classification pipelines)
- Feature engineering & evaluation metrics
- FastAPI / Flask model serving
- RESTful AI APIs
- Cloud integration (Google Cloud, AWS)
- Distributed similarity systems
LLM-powered support automation system integrating:
- Pinecone vector database
- GROQ LLaMA-3 inference
- SVM-based intelligent routing
- Semantic retrieval + generative response
Focus: End-to-end GenAI workflow with structured routing logic.
Scalable plagiarism detection system using:
- Abstract Syntax Tree (AST) similarity
- Google Drive API integration
- Distributed comparison logic
Focus: Structural code intelligence over naive text matching.
Transfer-learning-based detection pipeline using:
- Xception architecture
- OpenCV-based feature extraction
- Metadata & illumination inconsistency analysis
Focus: AI-generated media forensic detection.
Capstone project integrating:
- Multi-cloud APIs (Google Drive, Dropbox, OneDrive)
- OAuth2 authentication
- Encrypted metadata-driven architecture
Focus: Secure cloud abstraction layer with system-level design.
LLMs & RAG
LangChain · GROQ LLaMA-3 · Pinecone · SentenceTransformers
Deep Learning
TensorFlow · OpenCV · Transfer Learning · CUDA
Backend & APIs
FastAPI · Flask · REST APIs
Databases & Cloud
MongoDB · MySQL · Google Cloud · AWS
Core Foundations
Data Structures & Algorithms · Database Systems · System Design
Distributed Web-Based Plagiarism Checker Using AST and Google Drive Integration
Published in Shreeshodhamantra International Multidisciplinary Academic Research Journal
I am currently focusing on:
- Graph-based RAG architectures
- Hybrid retrieval (vector + structured traversal)
- LLM system evaluation and hallucination mitigation
- Scalable AI deployment patterns
