Aviral Shukla — Co-Founder

👋 Hello, I'm Aviral Shukla, a multi-domain Data Scientist with a focus on Natural Language Processing (NLP), Chatbots, Recommendation Systems, Machine Learning, and Applied Operations Research. I bring in wisdom and real-life problem solving capabilities to solve problems irregardless of any limitation to the max extent possible realistically . I believe in getting things done provided the mission, vision and impact of the projects interest me or seem rationally possible based on current and probable/possible market fit in the present or the future. 🛠️ Areas of Expertise: Natural Language Processing (NLP) Production Scheduling Optimisation (PSO) Machine Learning & Deep Learning Computer Vision Recommendation Systems 🌱 My Journey: I embarked on my data science adventure with an industrial internship in IoT, where I honed my skills in voice chatbot development using Deep Learning techniques. I then transitioned into the corporate realm, focusing on NLP to build groundbreaking information retrieval and code recommendation engines. 📊 Operations Research & Analytics: I furthered my expertise by diving into Production Scheduling Optimisation (PSO) and ensemble Machine Learning (ML) models. I developed actionable PSO reports that have significantly boosted revenue streams for my clients. 🤖 Auto ML & Advanced Modeling: My work also involves designing Auto ML platforms capable of selecting the optimal model from a wide range, from time series to advanced regression algorithms, not forgetting the reliable rule-based models. 📈 LLMs & Reinforcement Learning: With the advent of Large Language Models (LLMs), I am actively engaged in enhancing their performance through advanced reinforcement learning techniques. 👁️ Computer Vision: My portfolio also includes successful projects in the realm of Computer Vision, employing state-of-the-art algorithms for high-accuracy object detection, image classification, and segmentation. 🚀 Why Me? My passion for innovation and commitment to leveraging data-driven solutions make me adept at tackling the most challenging problems in the tech landscape. Whether it's NLP, Computer Vision, PSO, or Large Language Models, I am the go-to data scientist for delivering impactful and value-driven AI products.

Stackforce AI infers this person is a Data Scientist specializing in AI-driven solutions across Fintech and SaaS industries.

Location: Bengaluru, Karnataka, India

Experience: 6 yrs 11 mos

Skills

Large Language Models (llm)
Natural Language Processing (nlp)
Deep Learning
Time Series Analysis
Automated Machine Learning (automl)
Operations Research
Computer Vision

Career Highlights

Expert in Natural Language Processing and AI solutions.
Proven track record in developing impactful AI products.
Strong background in financial market predictive modeling.

Work Experience

Devot AI

Director & Head of AI (3 yrs 2 mos)

Fractal

Data Scientist (1 yr 11 mos)

Tata Consultancy Services

Data Scientist - Innovation Lab (2 yrs 2 mos)

Manipal University Jaipur

Deep Learning Intern (4 mos)

Indian Institute Of Technology(BHU),Varanasi

Summer Internship (2 mos)

All India Radio

Summer Internship (2 mos)

Education

Bachelor of Technology - BTech at Manipal University Jaipur

Aviral Shukla

Co-Founder

Bengaluru, Karnataka, India6 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Natural Language Processing and AI solutions.
Proven track record in developing impactful AI products.
Strong background in financial market predictive modeling.

Stackforce AI infers this person is a Data Scientist specializing in AI-driven solutions across Fintech and SaaS industries.

Contact

Skills

Core Skills

Large Language Models (llm)Natural Language Processing (nlp)Deep LearningTime Series AnalysisAutomated Machine Learning (automl)Operations ResearchComputer Vision

Other Skills

Fine TuningRAGReinforcement LearningProject ManagementRecommender SystemsProduct DevelopmentMicrosoft AzureGPT-4LlmPython (Programming Language)Convolutional Neural Networks (CNN)Long Short-term Memory (LSTM)LLaMAARIMAMonte Carlo Simulation

About

Experience

6 yrs 11 mos

Total Experience

2 yrs 5 mos

Average Tenure

3 yrs 2 mos

Current Experience

Devot ai

Director & Head of AI

Mar 2023 – Present · 3 yrs 2 mos · Bengaluru, Karnataka, India

Directed and Led - Expert AI and Machine Learning Consulting Initiatives and Project Delivery for Custom Solutions:
Provided specialized AI consulting services, focusing on custom LLM training, deep learning and deployment tailored to client needs.
Collaborative Development of AI-Powered Products:
Enabled,managed and led cross-functional teams to design, develop, and launch AI-powered products across industries such as social media and mental health tech, ensuring robust, industry-aligned solutions that address specific client requirements.
Comprehensive Project Management:
Managed AI projects from client consultations through production stages, meeting deadlines, achieving performance metrics, and delivering impactful results with a focus on practical and sustainable implementation.
Scaling AI Solutions for Efficiency:
Led scaling efforts of AI models and tools, significantly boosting operational efficiency and delivering measurable, impactful client outcomes. Enhanced business processes and optimized data-driven decision-making.
Diverse Experience in AI Applications:
Built a variety of AI applications, including Generative AI tools, eCommerce analysis engines, and predictive systems for financial markets. Utilized technologies such as Python, AWS services, Azure Bing APIs, GPT, RAGs, Hugging Face, Langchain, and matplotlib to create innovative, high-performance solutions.
Expertise in Financial Market Predictive Modelling:
Designed sophisticated trading indicators and predictive models employing deep learning techniques and time series analysis for strategic market forecasting and decision support.
Advanced Deep Learning Techniques:
Implemented time series forecasting using transformer-based models, convolutional neural networks (CNNs), and other advanced deep learning architectures. These approaches enhanced the accuracy of market predictions, optimized trading strategies, and improved client profitability through actionable data insights.

Large Language Models (LLM)Fine TuningRAGReinforcement LearningProject ManagementRecommender Systems+12

Fractal

Data Scientist

Aug 2021 – Jul 2023 · 1 yr 11 mos · Bengaluru, Karnataka, India

Data-Driven SKU Volume Recommendation Engine Using Time Series Forecasting & Auto ML:
Engineered a customer-specific SKU volume Recommendation Engine, leveraging both time series forecasting techniques and Auto ML capabilities. This advanced engine employs historical data to predict future SKU demand, enabling data-driven decisions for optimizing supply chain and inventory management.
Pioneering in Applied Operations Research (OR) & Optimization for Enhanced Operational Efficiency:
Built a strong reputation in Applied Operations Research, with a focus on developing cutting-edge algorithms and models in the field of Optimization. By marrying OR principles with time series forecasting, I've been able to facilitate effective resource allocation, driving organizational efficiency and operational excellence.

LlmDeep LearningSoftware DevelopmentPython (Programming Language)Automated Machine Learning (AutoML)Operations Research+6

Tata consultancy services

Data Scientist - Innovation Lab

Jun 2019 – Aug 2021 · 2 yrs 2 mos · Bengaluru, Karnataka, India

Deep Expertise in Natural Language Processing (NLP) for Complex Data-Driven Tasks:
Cultivated an advanced skill set in NLP, an essential field in today's AI-driven world, by building powerful systems that tackle complex data-driven challenges.
Advanced Information Retrieval Systems through NLP:
Utilized NLP techniques to develop an efficient Information Retrieval system capable of extracting highly relevant data from expansive datasets. This experience has further solidified my role as a pivotal player in data mining, content classification, and user engagement optimization.
Context-Aware Code Recommendation Engine via NLP:
Made key contributions to the development of an innovative Code Recommendation Engine that leverages NLP models. This engine not only suggests accurate code snippets but is also context-aware, significantly streamlining the software development process and boosting developer productivity.

Deep LearningDBSCANSoftware DevelopmentPython (Programming Language)Recommender SystemsNatural Language Processing (NLP)

Manipal university jaipur

Deep Learning Intern

Jan 2019 – May 2019 · 4 mos · India

In-Depth Industrial Internship in IoT with a Specialization in Natural Language Processing (NLP):
Embarked on a comprehensive industrial internship at an IoT company, honing my expertise in NLP and artificial intelligence.
Innovative Offline-Online Voice Chatbot using Deep Learning:
Developed a state-of-the-art offline-online voice chatbot by leveraging Deep Learning techniques. This robust conversational interface is capable of seamless user interaction, even in scenarios with low or no internet connectivity. The project significantly sharpened my NLP skills and provided invaluable hands-on experience in deploying Deep Learning models for real-world IoT applications.

TensorFlowDeep LearningSoftware DevelopmentPython (Programming Language)Natural Language Processing (NLP)

Indian institute of technology(bhu),varanasi

Summer Internship

May 2018 – Jul 2018 · 2 mos · Varanasi, Uttar Pradesh, India

Successful Projects in Machine Learning (ML) and Deep Learning (DL) for Advanced Computer Vision Applications:
Excelled in implementing cutting-edge Machine Learning and Deep Learning algorithms tailored for complex Computer Vision tasks.
High-Accuracy Object Detection, Image Classification, and Segmentation:
Utilized state-of-the-art models and techniques to achieve industry-leading accuracy in object detection, image classification, and segmentation tasks. These successes have fortified my proficiency in applying Machine Learning and Deep Learning to solve real-world Computer Vision challenges.

Deep LearningSoftware DevelopmentPython (Programming Language)Computer VisionOpenCV