Dev Ambani Email and Phone Number
Aspiring AI and Machine Learning Expert | Passionate about Transforming Big Data into Actionable Insights | AI Consultant & EngineerHello! I’m Dev, a Master’s student in Artificial Intelligence at Northwestern University, combining a solid foundation in electronics with advanced knowledge in AI and machine learning. With a CGPA of 4.0, I've consistently ranked in the top 5% of my cohort, and I'm deeply passionate about leveraging AI to solve complex, real-world problems.Technical Skills:Proficient in Python, Swift, SQL, R, Java, JavaScript, C++, among others.Experienced with TensorFlow, PyTorch, Scikit-Learn, Apache Spark, NumPy, Pandas, and more.Skilled in web development frameworks like HTML, CSS, React, NodeJS, AngularJS, and Django.Looking Ahead:I am eager to bring my blend of academic excellence, hands-on experience, and a passion for AI to a forward-thinking organization. Whether it's developing innovative AI solutions or contributing to data-driven decision-making, I am ready to make a significant impact.📫 Connect with me!I'm always open to discussing AI innovations, tech trends, or potential collaborations. Feel free to reach out to me here on LinkedIn or at devambani2025@u.northwestern.edu.
Grainger
View- Website:
- grainger.com
- Employees:
- 17102
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Machine Learning EngineerGrainger Sep 2024 - PresentEvanston, Illinois, United States
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Machine Learning EngineerXmentium Jun 2024 - PresentEvanston, Illinois, United States- Fine-tuned an open-source language model for legal contract drafting, utilizing topic modeling and text generation to boost performance by 25%.- Developed a Named Entity Recognition (NER) benchmark system on Amazon EC2, leveraging semantic analysis and GloVe embeddings, which increased evaluation accuracy by 30%.- Created APIs on AWS Lambda to support extensive model testing, achieving a 95% reliability rate for tasks like text summarization and information retrieval.- Optimized AWS data storage and retrieval processes with S3 and RDS, reducing retrieval time by 20% for model training and deployment. -
ResidentThe Garage At Northwestern University Apr 2024 - PresentEvanston, Illinois, United States -
Luminate ProgramThe Garage At Northwestern University Dec 2023 - Mar 2024Evanston, Illinois, United States
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Tinker ProgramThe Garage At Northwestern University Oct 2023 - Dec 2023Evanston, Illinois, United States
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Research Assistant - Center Of Advanced Safety For Machine IntelligenceNorthwestern University Dec 2023 - PresentEvanston, Illinois, United States -
Co-Founder And CeoLocal Dec 2023 - Present- Co-Founder and CEO of Local, an app dedicated to connecting communities with local businesses through AI-driven solutions.- Leading a team of 30, alongside co-founder Saloni Patel, to innovate in urban exploration and local business engagement.- Secured over $10,000 in funding to support growth and expansion.- Serving over 300 local businesses with tools to boost visibility, customer engagement, and retention.- Nominated for the Chicago Innovation Awards, recognizing our impact in the local business space.- Part of The Garage, Northwestern University’s official incubator, fueling our mission with mentorship and resources. -
Ai ResearcherHealee Nov 2023 - May 2024Evanston, Illinois, United StatesMentored by Dr. Plamen Petrov, CEO of Healee· Creating an interactive dermatologist interface to enhance patient-doctor consultation practices.· Enhanced chatbot comprehension of patient issues by 40% using BERT, GPT, and Hugging Face Transformers for query analysis.· Utilized Inception V3 and few-shot learning to optimize ML-based image recognition, yielding 30% increase in diagnostic accuracy.· Crafted SpaCy-based NLP algorithms for sentiment analysis and topic modeling on patient feedback, yielding a 64% satisfaction rate.· Incorporated Bayesian Optimization to fine-tune hyperparameters, refining the model and achieving a notable 86% accuracy. -
Machine Learning EngineerSamesame (Siyafanafana) Mar 2023 - Jun 2023- Designed SentinAI to provide culturally sensitive, on-demand mental health support for underserved South African communities, addressing high suicide rates.- Developed an AI chatbot with 90% target accuracy for real-time suicide risk detection.- Built a suicide detection model using Python, TensorFlow, and Hugging Face Transformers within a RAG framework, leveraging Elasticsearch for precise responses.- Achieved 92% detection accuracy, contributing to a 35% increase in early interventions and earning endorsements from national mental health organizations. -
Research Assistant - Signal & Systems LabUniversity Of Mumbai Dec 2022 - May 2023Mumbai, Maharashtra, IndiaMentored by Dr. Sunil Karamchandani, Senior IEEE Member· Developed a novel Python traffic system, using Snowflake and Azure for 40% quicker cross-validation of dynamic image processing.· Applied OpenCV & YOLO v5 model that communicated information to on-base Raspberry Pi leveraging Google Cloud GPUs & TPUs.· Improved real-time classification algorithm using CNTK and Keras, resulting in a 15% decrease in traffic congestion.· Initiated deployment of CNN model in cloud-edge infrastructure, facilitating a 25% increase in responsiveness during peak traffic. -
Ai EngineerSapours Technologies Dec 2020 - Mar 2023Sunnyvale, California, United StatesMentored by Co-founder Samir Gandhi· Designed deep learning models through CNNs, fortifying customer behavior prediction and raising forecasting accuracy to 93%.· Implemented reinforcement learning in PyTorch for dynamic pricing, optimizing revenue growth by 47% in competitive markets.· Streamlined ML workflows on AWS, reducing data processing time by 54%, aiding in data mining and improving fraud detection.· Engineered recommendation systems utilizing collaborative filtering, escalating customer retention and repeat purchases by 25%.· Leveraged Docker for containerization and GitHub Actions to refine CI/CD pipelines, ensuring reliable and efficient deployments. -
Data ScientistCapgemini Aug 2020 - Oct 2020Mumbai, Maharashtra, IndiaMentored by Wesley Weel, Director of AI Solutions for Automation· Led development of the Apriori Algorithm in R, increasing network reliability by forecasting system errors with 80% accuracy.· Automated data preprocessing for better accuracy using TensorFlow and Pandas, reducing manual data cleaning efforts by 42%.· Devised real-time financial anomaly detection using Scikit-Learn and XGBoost, detecting fraudulent transactions with 95% accuracy. · Employed ARIMA and LSTM for stock price forecasting, exceeding baseline models by 15%, enabling proactive investment strategies.· Elevated decision making by 42% through Power BI, facilitated via AWS Glue, leveraging CRM data within SAP ERP systems.
Dev Ambani Education Details
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4.0 / 4.0
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Engineering/Industrial Management
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High School Diploma -
Middle School Diploma
Frequently Asked Questions about Dev Ambani
What company does Dev Ambani work for?
Dev Ambani works for Grainger
What is Dev Ambani's role at the current company?
Dev Ambani's current role is AI Graduate Student @ Northwestern University || ML Engineer @ xMentium || Co-Founder of Local.
What schools did Dev Ambani attend?
Dev Ambani attended Northwestern University, Northwestern University, Dwarkadas J. Sanghvi College Of Engineering, Thakur College Of Science & Commerce, Thakur International School Mumbai.
Who are Dev Ambani's colleagues?
Dev Ambani's colleagues are Leslie Cox, Joshua Rao, Andrew Gunderson, Jake Williams, Dana Fiorilli, Clayton Hiles, Pabel Hernandez.
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