Aakash Soni

Dynamic AI ML Engineer with extensive expertise in natural language processing and chatbot development at Systango Technology Pvt. Ltd. Demonstrated ability in delivering innovative AI solutions and providing user training, resulting in enhanced user engagement. Proficient in complex algorithms, Python, and deep learning techniques, leading to significant improvements in system efficiency and performance. Committed to continuous learning and excellence in technical documentation.

1. Conversational Crypto Bot
Objective:
Designed and developed a sophisticated conversational bot to streamlinecryptocurrency trading. The bot leverages the OpenAI API and Flask framework tounderstand user inputs, analyze requirements, and recommend optimal trading strategies.
Roles & Responsibilities:
Code Development:
Wrote clean, effi cient, and maintainable code to implement the bot’score functionalities, ensuring robust performance and reliability.
Unit Testing & API Development:
Conducted thorough unit testing to validatefunctionality and provided RESTful APIs for seamless integration with the front-end,enabling smooth and responsive user interactions.
Cross-Functional Collaboration:
Coordinated closely with the project manager and teammembers to enhance and refi ne the chatbot’s conversational capabilities, integratingfeedback and implementing improvements to optimize user experience.
Algorithm Implementation:
Implemented advanced algorithms for processing user inputsand calculating optimal trade recommendations based on real-time data.
Technologies Used:
Python, Flask, OpenAI API
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Machine Learning Engineer
2. Travel Mode Detection
Objective:
Developed and integrated an advanced AI-powered "Travel Mode Detection"feature within the “Travel Dashboard,” aimed at promoting sustainability through accuratetracking of travel modes and carbon emissions
Roles & Responsibilities:
Data Collection and Preprocessing:
Managed the collection and preprocessing of rawmobile device data to ensure accuracy and reliability, laying a solid foundation foreffective machine learning models.
Feature Engineering:
Conducted feature engineering to convert raw data into actionableinsights, enhancing the precision of travel mode predictions.
Model Selection and Training:
Applied machine learning techniques, including LogisticRegression, Random Forest,XGboost , to train and optimize models for accurate travelmode classifi cation.
Accuracy Validation and Integration:
Validated model effectiveness throughcomprehensive testing and integrated geofencing technology to improve the accuracy oftravel mode detection.
Sustainability Impact:
Contributed to the development of a solution aligned with nineUnited Nations Sustainable Development Goals (SDGs), promoting environmentalstewardship and sustainable living.
Technologies Used:
Python, Azure
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3. Kelley Kronenberg [PDF Page Classification for Legal Document Automation]
Machine Learning Engineer
Objective:
Developed a machine learning model to classify PDF pages into four distinctcategories, enhancing the automation of document processing for a law fi rm managing largefi les exceeding 2000 pages. The model identifi es and categorizes pages with high accuracy,providing detailed accuracy percentages to streamline the fi rm's workfl ow and improveeffi ciency.
Roles & Responsibilities:
Model Architecture Design:
Engineered and designed scalable and effi cient modelarchitectures tailored to meet the project requirements and client needs.
Model Development and Evaluation:
Developed machine learning models and rigorouslyevaluated their performance to ensure accuracy and reliability, utilizing technologies suchas Azure OCR, Python, and NLP (Natural Language Processing) with NLTK.
Production Deployment:
Successfully deployed models into production, ensuringseamless integration with the cloud-based portal and admin dashboard to enhancefunctionality and user experience.
Technologies Used:
Azure OCR, Python, NLP, NLTK
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Senior Software Engineer Unity3D
4. Grohe Corner Cave
Objective:
Developed an immersive, interactive four-wall projection system for Grohe,leveraging advanced technology to create a unique customer experience.
Technologies Used:
Software Engine:
Unity3D
Hardware:
ART Camera, Projectors, Joystick, 3D Glasses
Description:
The Grohe Corner Cave is an innovative four-wall projection system designed toprovide customers with a highly immersive experience. Users can select and confi gureshowers using a tablet, and then visualize their choices in a 3D environment with the aid of3D glasses. This cutting-edge technology allows for an interactive and engagingpresentation, enhancing customer engagement and decision-making.
Features:
Interactive Selection:
Users select showers from a tablet interface.
Immersive Visualization:
Experience confi gurations in a 3D projected environment with3D glasses.
Advanced Hardware Integration:
Utilizes ART cameras and projectors to create aseamless and immersive experience.
Impact:
This technology showcases Grohe's products in a highly engaging manner, setting anew standard for customer experiences in the retail space. It aligns Grohe with top brandslike Apple and BMW in terms of innovative customer engagement.
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Senior Software Engineer Unity3D
5. Kanakia - Fish Aquarium 3D
Objective:
Developed an interactive projection-based project for Kanakia, transforming userdrawings into dynamic 3D sea creatures displayed on a wall, creating an engaging andeducational experience.
Technologies Used:
Software Engine:
Unity3D
Hardware:
Fujitsu Scanner
Description:
The Kanakia - Fish Aquarium project is an interactive installation where users caninput their hand-drawn pictures through a Fujitsu scanner. These scanned images are thentransformed into animated 3D sea creatures, projected onto a wall to create a vibrant andimmersive aquarium experience. This project combines art, technology, and interaction tocaptivate and educate users about marine life.
Features:
Interactive Drawing Input:
Users create and scan their drawings of sea creatures.
Real-Time Transformation:
Scanned images are converted into animated 3D models usingUnity3D.
Immersive Display:
The 3D sea creatures are projected onto a wall, creating a dynamicand engaging aquarium environment.
Impact:
This project enhances user engagement by combining creativity with technology,providing an interactive and educational experience that delights users of all ages. It alsodemonstrates the potential of interactive installations in creating unique and memorableexperiences.

• Complete Machine Learning, NLP Bootcamp, MLOPS Deployment
• Complete the Generative AI course with LangChain and Hugging Face