I'm a passionate AI/ML Engineer with a B.E. (Hons.) in Electronics & Instrumentation from BITS Pilani. Currently working as an LLM/AI Prompt Engineer at Turing for Google-DeepMind, specializing in training large language models and building intelligent applications. My expertise spans from deep learning architectures to full-stack development, with a particular focus on LangChain, RAG systems, and multimodal AI solutions.
Akarsh Shrivastava
AI/ML Engineer & LLM Specialist
Transforming ideas into intelligent solutions through cutting-edge AI and machine learning.
Python
JavaScript
LangChain
TensorFlow
AWS
About Me
Professional Journey
TURING
LLM/AI Prompt Engineer | Google-Deepmind
Feb 2025 - April 2025
- Worked as LLM Trainer (RLHF) for correcting end-to-end code writing and testing ability of the new Gemini LLM.
CVISION
Contract ML Engineer
Dec 2024 - Feb 2025
- Created state-of-the-art app for parsing data by Entity Extraction using Multimodal LLMs for Recruitment Firm.
- Dockerised and deployed ReactJS Frontend and FastAPI backend.
CHATFIN-AI
AI-ML SDE1
May 2024 - Nov 2024
- Built AI agent integrating mixed frameworks for JS code generation.
- Improved RAG accuracy with FAISS, deployed Light-GBM model pipeline.
REGOLOGY INDIA
Software Engineer
Jul 2022 - Apr 2024
- Created Mongo-ElasticSearch Pipeline, built Policy Extraction using LLM.
- Developed Knowledge Graph index for enhanced data retrieval.
SAMSUNG R&D
Student Trainee
Jan 2022 - Jun 2022
- Beyond 5G Team - Data preprocessing for 5G modems research.
Technical Arsenal
Programming Languages
- JavaScript
- TypeScript
- Python
- Java
Frontend Technologies
- React
- Vue
- HTML
- CSS
AI/ML Frameworks
- TensorFlow
- Keras
- LangChain
- OpenAI
- CNN
- LSTM
Cloud & DevOps
- AWS
- Azure
- Docker
- MongoDB
- ElasticSearch
- Redis
Development Tools
- FastAPI
- Flask
- Supabase
- JIRA
- AGILE
Featured Projects
Stock Price Prediction | Ensemble Model
Developed CNN+LSTM model to predict graph trends with average loss of 1.6. Advanced ensemble approach combining convolutional and recurrent neural networks for superior prediction accuracy.
View on GitHubAutonomous Driving in CARLA
Implemented Deep Reinforcement Learning using DDQN for autonomous vehicle navigation. Advanced AI system capable of real-time decision making in complex driving scenarios.
View on GitHubML Models from Scratch
Implemented various ML models including Linear Regression and SVM from scratch using NumPy and Pandas. Deep dive into algorithmic foundations with optimized mathematical implementations.
View on GitHubLet's Build Something Amazing Together
Ready to discuss your next AI/ML project or explore collaboration opportunities? I'm always excited to work on innovative solutions.
Based in India | Open to remote opportunities