Languages
Hindi - Native Proficiency
Fluent and proficient in all aspects of Hindi, utilized for professional communication, client engagement, and understanding diverse cultural contexts within India. Over 20 years of continuous usage.
English - Professional Working Proficiency
Highly proficient with over 15 years of experience in international professional environments, including AI research collaborations, technical documentation, presentations, and cross-cultural team leadership. Capable of complex negotiation and nuanced communication.
Gujarati - Native Proficiency
Fully fluent in Gujarati, used for daily communication, local business interactions in Surat, and community engagement, reflecting over 25 years of consistent usage.
Turkish - Limited Working Proficiency
Acquired A2-B1 level proficiency through 6 months of intensive self-study. Able to conduct basic conversations, understand common technical terms, and navigate general interactions, particularly useful during international project coordination and cultural exchange initiatives.
German - Limited Working Proficiency
Achieved A1-A2 level proficiency after 1 year of structured learning. Utilized for basic travel communication, understanding general directives, and preliminary engagement with German technical literature in an academic context.
Japanese - Limited Working Proficiency
Developed A1 level proficiency over 8 months of self-learning, focusing on conversational basics and cultural understanding. Applied primarily for basic interactions during international tech conferences and interpreting fundamental technical concepts related to AI and robotics.
Certifications & Professional Development
International Astronomy and Astrophysics Program
University of Cambridge Institute of Astronomy (Summer 2019)
Completed: August 15, 2019 | Credential ID: CAM-ASTRO-2019-08
Acquired advanced skills in astronomical data analysis, celestial mechanics, and astrophysical modeling using Python with libraries like Astropy and NumPy. Applied sophisticated machine learning techniques (e.g., scikit-learn for clustering, TensorFlow for neural networks) to analyze vast astronomical datasets, successfully classifying stellar spectra and mapping galaxy distributions. This program significantly enhanced my ability to handle large-scale data and apply complex AI/ML algorithms to novel scientific challenges, directly applicable to AI research.
Certification in Encoder-Decoder Architecture
DeepLearning.AI (March 2021)
Completed: March 20, 2021 | Credential ID: DLAI-EDC-2021-03
Focused on the design and implementation of sequence-to-sequence models, including Recurrent Neural Networks (RNNs), LSTMs, GRUs, and advanced attention mechanisms using TensorFlow 2.x and Keras. Developed and optimized models for machine translation, achieving an average BLEU score of 28.5 on a French-to-English translation task, and built abstractive text summarization systems. This certification deepened my understanding of sequential data processing, crucial for NLP, time-series forecasting, and speech recognition applications.
Certification in Transformer Models and BERT
Hugging Face Academy (August 2021)
Completed: August 10, 2021 | Credential ID: HFA-TMB-2021-08
Gained comprehensive expertise in Transformer architecture, multi-head self-attention, and positional encoding. Achieved practical proficiency in utilizing and fine-tuning state-of-the-art pre-trained models such as BERT, GPT, and T5 using the Hugging Face Transformers library in PyTorch. Successfully implemented and deployed models for various NLP tasks, including achieving 92% F1-score on named entity recognition (NER) for medical texts and 94% accuracy on sentiment analysis. This skill set is vital for building advanced conversational AI and text understanding systems.
Innovaccer's HackerCamp '22
Innovaccer (powered by Microsoft) (October 2022)
Completed: October 28, 2022 | Credential ID: INNO-HC-2022-10
Participated in an intensive 48-hour collaborative hackathon, rapidly prototyping AI/ML solutions for healthcare data interoperability. Utilized Microsoft Azure AI services, including Azure Machine Learning, Azure Cognitive Services (Text Analytics), and Azure Databricks, to develop a predictive model for patient readmission rates. Our team's solution demonstrated a 15% improvement in prediction accuracy over baseline models, showcasing agile problem-solving and practical application of cloud-based AI tools under pressure.
Baseline AI/ML Data Engineering Certification
Data Science Institute (May 2023)
Completed: May 5, 2023 | Credential ID: DSI-AIDE-2023-05
Certified in end-to-end data pipeline design (ETL/ELT), data warehousing, advanced feature engineering, and robust MLOps principles. Gained proficiency in big data processing with Apache Spark, Apache Kafka for real-time data streaming, and cloud data platform services on AWS (S3, Glue, SageMaker). Engineered scalable data infrastructures that reduced data ingestion and processing times by 30% for ML model training, ensuring reliable and reproducible deployment of AI models in production environments.