AI/ML Intern
MJ Smart Solutions
10.2025 - Current
Sidda Abhishek
Bengaluru,KA
Timeline
B.Tech - Artificial Intelligence And Machine Learning
REVA University
08.2022 - Current
Work Preference
Work Type
Full TimeInternshipLocation Preference
HybridOn-SiteRemoteImportant To Me
Flexible work hoursStock Options / Equity / Profit SharingWork History
AI/ML Intern
MJ Smart Solutions
10.2025 - Current
- Worked as an AI/ML Intern on Edison AI, developing NLP pipelines to convert doctor's prescriptions into structured medical notes using transformer-based models, FastAPI, and automated text-cleaning workflows.
- Assisted in data preprocessing for machine learning models using Python and relevant libraries.
- Collaborated with team members to analyze datasets and extract meaningful insights.
Education
B.Tech - Artificial Intelligence And Machine Learning
REVA University
Bengaluru 08.2022 - Current
Skills
- Conversational AI & NLP (Sentence Transformers, Intent Detection)
- Speech Recognition & TTS Integration (Deepgram, ElevenLabs)
- AI Model Pipeline Design & Optimization
- Semantic Search & Contextual Response Retrieval
- Data Engineering (JSONL Structuring, Cleaning, Preprocessing)
- Python (Torch, NumPy, Pandas, Requests, pydub)
- Audio Processing & Automation (sounddevice, FFmpeg)
- API Integration & Modular System Development
- Teamwork and collaboration
- Problem-solving
- Time management
- Machine learning
- Communication
Summary
Innovative and research-driven AI/ML enthusiast with a B.Tech in Artificial Intelligence and Machine Learning, skilled in building intelligent systems that bridge real-world challenges with deep learning and data-driven solutions. Experienced in developing NLP and voice automation pipelines through projects like Edison AI, and applying machine learning for forecasting and healthcare. Proficient in Python, Transformers, and FastAPI, with hands-on experience in model fine-tuning, data engineering, and deployment. Passionate about advancing the frontiers of Generative AI, quantitative modeling, and applied research in AI-driven automation.
Languages
English
Bilingual or Proficient (C2)
kannada
Bilingual or Proficient (C2)
Telugu
Bilingual or Proficient (C2)
Hindi
Bilingual or Proficient (C2)
Projects
- AI-Powered API for Pest, Disease Detection, and Organic Farming Optimization
Detects crop pests and diseases using AI-powered image analysis.
Recommends organic, eco-friendly solutions based on detections.
Monitors crop health using environmental and sensor data.
Oers API access for easy integration with agriculture platforms.
Continuously improves with user feedback and local data input. - Advances in Numerical Weather Prediction (NWP) Modelling using AI/ML Techniques
Enhances short-range weather forecasting by integrating AI/ML with traditional NWP models.
Utilizes satellite data from INSAT-3DS and TRISHNA for improved atmospheric observations.
Develops ML-based tools for better data assimilation and observation operator design.
Applies machine learning for model bias correction and rened forecast post-processing.
Aims to deliver accurate, real-time forecasts for improved decision-making in key sectors.