✉ Open to opportunities
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Available for Opportunities
SATYAM GURJAR
AI ENGINEER
AI Engineer specializing in Generative AI, Large Language Models (LLMs), RAG systems, AI Agents, LangChain, PyTorch, Deep Learning, and intelligent automation solutions.
Satyam Gurjar
AI Engineer
Specialization
AI/ML Engineer
Experience
Internship: SemsterTech
Education
B.Tech CSE — AIML (7.9 CGPA)
Python✦LangChain✦PyTorch✦Transformers✦NLP✦GNN✦RAG✦LSTM✦Python✦LangChain✦PyTorch✦Transformers✦NLP✦GNN✦RAG✦LSTM✦
Selected Work
PROJECTS
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AI Personal Assistant
Voice Recognition & Control System
Developed an intelligent personal assistant with advanced voice recognition capabilities. Integrated Speech-to-Text and Text-to-Speech for seamless hands-free interaction. Implemented voice-based authentication and system control features including task automation, scheduling, and multi-user support.
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Movie Recommendation System
Content-Based Recommendation Engine
Built a content-based movie recommendation engine using metadata similarity techniques. Processed and cleaned movie datasets for feature extraction and similarity matching. Implemented cosine similarity algorithms to generate personalized recommendations with improved relevance through preprocessing.
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Neural Machine Translation
English-Hindi Transformer Model
Implemented a transformer-based neural machine translation model from scratch. Designed the full training pipeline for English-to-Hindi translation tasks. Applied attention mechanisms to improve sequence-to-sequence translation quality and refined architecture for optimal output.
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GNN Force Predictions
Graph Neural Network Model
Developed a graph neural network model to predict inter-particle forces from structured relationships. Modeled particles as graph nodes to capture spatial and interaction dependencies. Applied deep learning techniques to learn complex force patterns and dynamics.
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Technical Arsenal
SKILLS
LLMs &
Generative AI
Generative AI
- LangChain
- RAG (Vector Embeddings)
- FAISS
- Transformers
- Fine-tuning
- LSTM
Deep Learning
& NLP
& NLP
- Neural Networks
- GNN (Graph)
- NLP
- Computer Vision
- Seq2Seq
- Attention Mechanisms
Machine
Learning
Learning
- Regression
- Classification
- KNN / SVM
- Random Forest
- XGBoost
- Feature Engineering
Core
Engineering
Engineering
- Python
- PyTorch
- Pandas / NumPy
- Scikit-learn
- Git / GitHub
- Jupyter Notebook
Work History
EXPERIENCE
AI Engineer Intern
Current Role
- Developed and deployed AI agents for process automation and intelligent task execution using LangChain and modern LLM frameworks.
- Built automation workflows to streamline business operations and improve efficiency across multiple departments.
- Collaborated with cross-functional teams to identify automation opportunities and implement AI-driven solutions.
- Gained hands-on experience in AI/ML model deployment and real-world application development in production environments.
Let's build something
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TOUCH.
TOUCH.