Open To Work
Deepak S R Shetty
Bangalore
Summary
Adaptable professional with a quick-learning ability and a talent for adjusting to new environments. Skilled in rapidly acquiring new knowledge and applying it effectively. Driven by a passion for continuous learning and successfully navigating change.
Education
B.E. - Artificial Intelligence & Machine Learning
GPA: 8.09
Higher Secondary Education - PCMS
GPA: 92.33%
Secondary Education -
GPA: 93.6%
Skills
- Python
- SQL
- C
- NLP
- Reinforcement Learning
- Retrieval-Augmented Generation
- TensorFlow
- PyTorch
- Scipio-learn
- LangChain
- Open's
- Pandas
- Nubby
- FastAPI
- Git
- VS Code
- MySQL
- Vector Databases (FAISS)
- Debugging
- Self-Learning
- Time Management
- Machine learning
- Data analysis
- Programming languages
- Algorithm design
- Statistical modeling
- Effective communication
- Teamwork and collaboration
- Analytical and critical thinking
Projects
- AI-Driven Desktop Automation Agent, Python, GenAI, Computer Vision, Ongoing, Built a Windows AI assistant to execute natural-language commands for application control and file operations., Implemented a planner-executor-verifier LLM architecture for reliable multi-step task execution., Integrated vision-based UI automation to interact with real desktop applications without hardcoded coordinates., Added execution feedback and retry mechanisms to improve robustness across complex tasks.
- F1 Strategy Optimizer, Python, PyTorch, Stable-Baselines3, FastAPI, Streamlit, Redis, 2025, Engineered a reinforcement learning platform to optimize Formula 1 race strategies using PPO and A2C., Built an API-driven system with FastAPI, Redis, and interactive dashboards for strategy visualization., Simulated real-time race scenarios using telemetry data across 20+ circuits.
- Enterprise Knowledge Assistant, Python, LangChain, FAISS, FastAPI, 2025, Developed a RAG-based GenAI assistant for querying unstructured documents using semantic retrieval., Implemented document ingestion, chunking, embeddings, and vector-based search with source grounding., Evaluated RAG vs non-RAG outputs to improve relevance and reduce hallucinations.
- Shipment Tracking System, Python, REST API, RandomForest, 2025, Built a shipment tracking platform with REST APIs for integration with logistics systems., Developed an ML model to predict shipment delays, improving forecasting accuracy by 20%., Implemented feature engineering and automated evaluation for reliable predictions.
Languages
- English, Fluent
- Hindi, Fluent
- Kannada, Native
- Tulu, Native
- Telugu, Basic
- Tamil, Basic
Work Preference
Job Search Status
Open to workWork Type
Full TimeLocation Preference
On-SiteRemoteHybridSalary Range
₹45000/yr - ₹200000/yrTimeline
NMIT - B.E., Artificial Intelligence & Machine Learning
SDM PU College - Higher Secondary Education, PCMS
Shri Ramakunjeshwara English Medium School - Secondary Education,