Work Experience
Software Engineer
Salk AI
Oct 2024 - Feb 2025
Nagpur, India
- Benchmarked performance of LLMs, VLMs, STTMs with prompt engineering approaches like one-shot, few-shots, CoT.
- Developed Proof of Concepts (POCs) involving LLMs, OpenCV and NLP based practices.
- Traced the model API calls on Langfuse by integrating LLMs with LiteLLM and implementing fallback strategies.
- Hosted open source models using vLLM with on NVIDIA A100 GPU and tested their performance with their endpoints.
- Integrated AI into development environment by creating their RESTful backend APIs and user-friendly frontend interface.
AI/ML Researcher
Avignon Université
Jun 2024 - Jul 2024
Avignon, France
- Conducted research in Bioinformatics to analyze the impact of UV rays on living organisms using ML algorithms.
- Developed datasets by extracting data from sources like NCBI and Springer.
- Tuned ML models to predict UV ray impact, leveraging ANN architectures with BatchNormalization and Dropout layers.
- Implemented predictive modeling techniques with Early Stopping and model-saving callbacks.
- Integrated best-performing models into a Django-based web application for real-time UV ray impact prediction.
UI/UX Design Intern
AI Chef Master
Jan 2024 - Apr 2024
Mumbai, India
- Performed user research regarding customer expectations and to identify the suitable elements for the webpage.
- Planned the workflow and developed wireframes to ensure proper structuring of components.
- Designed the complete portfolio website and the AI Chef website containing cuisines based on user preferences.
- Worked with the Frontend Team to assist them with suitable color combinations and responsive layouts.
- Created a prototype of all the designed pages to keep the applications organized useful for presentations.
Machine Learning Intern
Feynn Labs
Nov 2023 - Jan 2024
Remote
- Developed a ML model on holiday packages using supervised learning algorithms to identify the customer purchase behaviour to be utilised for product creation for small/medium businesses.
- Performed a case study on a restaurant dataset to identify the likeliness of customers with regards to age using K-Means++ Clustering and Principal Component Analysis.
- Performed Market Segmentation Analysis for an Electric Vehicle startup to decide what customer space is suitable for developing its EVs throughout PAN India.
