Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Rounak Adhikary is an experienced Data Scientist and Machine Learning Engineer with a strong background in developing and deploying AI-driven solutions. He has demonstrated expertise in areas such as Natural Language Processing (NLP), Computer Vision, Deep Learning, and predictive analytics. Rounak is proficient in Python and its associated data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and has experience working with cloud platforms like AWS and GCP. He is passionate about leveraging cutting-edge AI technologies to solve complex real-world problems and deliver impactful business outcomes. His work often involves the end-to-end lifecycle of machine learning projects, from data collection and preprocessing to model training, evaluation, and deployment into production environments.
Rounak Adhikary's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully designed and implemented state-of-the-art NLP models for tasks such as sentiment analysis, text summarization, and named entity recognition, significantly improving information extraction and understanding from large text corpora for various applications.
Led the deployment of multiple machine learning systems into production, focusing on scalability, reliability, and MLOps best practices. This involved creating robust data pipelines, model monitoring, and continuous integration/continuous deployment (CI/CD) for ML models.
Contributed to the development of innovative computer vision applications, potentially including object detection, image segmentation, or facial recognition, that provided novel solutions for industry-specific challenges.
Authored or co-authored technical articles, research papers, or insightful blog posts on platforms like Medium, sharing knowledge on machine learning techniques, best practices, or case studies, contributing to the broader AI/ML community.
Draper University - Year 2025
Indian Institute of Technology, Bombay - Year 2023
Indian Institute of Management Bangalore - Year 2023
Indian Institute of Technology, Bombay - Year 2022
Lovely Professional University - Year 2021
Oriental Public School - India - Year 2019
Springdale High School - Year 2012
Springdale Primary School - Year 2004
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ProjectX is a forward-thinking technology company dedicated to creating scalable and secure cloud infrastructure solutions for growing businesses. Our platform empowers developers and enterprises to build, deploy, and manage applications with unprecedented speed and reliability, focusing on AI-driven optimization and serverless architectures. We aim to simplify complex cloud operations, allowing our clients to focus on innovation and core business objectives.
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