LTIMindtree

Associate Principal - Data Sciences & AI

Senior Specialist - Data Sciences & AI

Mindtree

Technical Lead

AI Time Journal

AI Time Journal is a publishing platform that strives to aware users of and around the world of Artificial Intelligence, growing technology trends, and other industry news.

My responsibilities as an Associate Editor include the following:
1. Write articles that highlight current happenings of artificial intelligence
2. Coordinate with Data experts, AI researchers, Engineers, and Developers to know their work, interview them and highlight their contribution towards Artificial Intelligence and other technology areas.
3. Work with the team to create awareness on multiple AI-related topics and perform research based on different innovations and inventions happening in the technology and AI sector.

Associate Editor

World Business Angels Investment Forum

World Business Angels Investment Forum is an affiliated partner of the G20 Global Partnership for Financial Inclusion (GPFI), the World Business Angels Investment Forum (WBAF) is committed to collaborating globally to empower the economic development of the world by fostering innovative financial instruments for startups, scaleups, innovators, entrepreneurs, and SMEs and to promoting gender equality and women’s participation in all sectors of the world economy.

International Partner

Techno Code LLP

Worked on real time data problems and focused on building data models that led to valuable insights and outcomes.
Have experienced working with Web and Data Scrapping, Data Cleaning, Machine Learning models, NLP, Image Processing, and more.
Primary responsibility was to code and program the system and validate the model with different test cases.
Worked in Python programming language as the core development language and MySQL as the RDBMS.

Data Scientist & AI Expert

Techno Code LLP founded in the year 2015 with an aim to provide cutting-edge technology products and services to business organizations and individuals. Our main aim is to develop services that are used by millions and billions of people.
Our services include:
1. Website Design and Development
2. Mobile Application Development
3. Software Application Development
4. Logo and Graphic Designing
5. Digital Marketing
6. Search Engine Optimization (SEO)
7. E-commerce Development
8. Data Analysis
and many more.

You can also find us on all major social media sites, which includes:
1. Facebook: https://facebook.com/technocodellp
2. LinkedIn: https://in.linkedin.com/company/techno-code
3. Twitter: https://twitter.com/technocodellp
4. Google+: https://plus.google.com/+TechnocodeLLP

For any queries or to get in touch, you can personal message me or get in touch with me directly.

Founder, Director

Laboratoire des Sciences du Numérique de Nantes (LS2N)

The project that I was deployed on was "Machine Learning on Crowdsourced Data". It basically aimed to help classify reliable workers (the one's who provide input vote for a task in crowdsourcing system) based on their votes provided to a certain task. This was achieved by using Machine Learning techniques. Majority Voting was used along with a statistical metric termed "Confidence Factor". By using this technique and metric, the project was implemented and workers were classified.

Research And Development Intern

Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO)

Research Intern at IIRS (ISRO). Job to apply image processing and data analysis techniques such as classification, clustering, machine learning, etc. Techniques are to be applied on satellite image data and analysis and comparison with existing techniques needs to done.

Research Intern

Suven Consultants and Technology Pvt.Ltd.

Web Developer, developed projects like: Online Phone-book System, Social Networking Site, Club Management System using WordPress and many more.
My responsibilities were to develop such projects using languages: HTML, HTML 5, PHP, MySQL, JavaScript, Jquery, CSS, CSS3.
Also used WordPress which is an Open Source Content Management System (CMS).

Trainee

Technical Lead at LTIMindtree | Thought Leader at Global AI Hub | Associate Editor at AI Time Journal

Akshay is an Associate Principal at LTIMindtree, where he drives innovation within the Industrial AI vertical. With over a decade of experience in data science and AI, he specializes in developing data-driven and AI-powered solutions, encompassing areas like Machine Learning, Computer Vision, Natural Language Processing, and Generative AI.

His expertise spans the entire spectrum of the AI industry, from business requirement understanding and P&L management to building scalable architectures, ensuring end-to-end use case delivery, and leading technology development and team management. This comprehensive skill set allows Akshay to deliver intelligent solutions with significant business impact.

Beyond his technical roles, Akshay is a prolific technology blogger and content writer, sharing insights on technology, business, startups, and entrepreneurship. He previously served as an Associate Editor at AI Time Journal, where he conducted interviews and podcasts with leading figures in the data and AI industry. In his early career, he also mentored students and professionals in various technology domains and programming languages, including Python, AI, ReactJS, and PHP.

To connect with Akshay, please reach out via personal message on LinkedIn.

Akshay Toshniwal

Infosys

Managing accounts - UK, USA, APAC in Salesforce Sales Cloud, CPQ, CTI Integration, Marketing Cloud , Service Cloud - Implementation & Support, 

Designed various insights using Salesforce CRM data(Sales Cloud, Service Cloud, Marketing Cloud) as well as other internal and external data sources such as website, email marketing campaign results, or social media. 

Developed various models using Salesforce Merlion Python library for forecasting, anomaly detection, change point detection for both univariate ,multivariate time series and evaluated model performance. 

Developed Explainable(XAI) Tool which helps to describe in detail how ML models produce their prediction for different reasons. XAI tool helped to prevent bias and build fair, accurate algorithms, generate more trust into Machine Learning models. Exploring Generative AI, Discriminative AI models building with Salesforce platform datasets, including LLMs and building tools to optimize, increase productivity of developers and to improve end users experience who are using Salesforce Platform.
Developed Machine Learning Pipeline Deployment and Architecture for specific business process use cases. 

Explored Salesforce Platform Einstein Language, Einstein BOTs and used the Einstein Language APIs to build Natural Language Processing into Salesforce apps and unlocked powerful insights within text.

Using NLP Techniques developed sentiments analysis models. Developed various  ML models using computer vision, automatic speech recognition to enable better CX, UX within Salesforce Apps.

Used CDP Python Connector from PyPI, Connector uses the Query API and extracted data from Salesforce Data Cloud into Python Pandas DataFrames, Created insights, Built ML Models. 

Developed ML Models on App Log datasets, Real time Anomaly detection and drawn Performance Insights through Automation, Identifying and implementing various AI use cases which can help various business processes and scenarios within Salesforce Products Suite.

Senior Project Manager

CRMIT

Spearheaded and managed Projects (Oracle CRMOD, Fusion CRM, Oracle Policy Automation & Oracle Policy Modeling, Integration of CRMOD/Fusion CRM with OPA) and CRM++ Products Management.

Worked closely with the CTO, Product, R & D Team on defining the product strategy and responsible for the product vision, planning, design, usability, and quality of releases. 

Translated requirements into manageable product backlog. Maintained the prioritized backlog of requirements / user stories, features and defects. Understood the features and changes in product requirements & supported the sprint planning exercises. 

Analyzed product metrics and trends to assess product health and improvement opportunities. 
Gained deep understanding of users and customers, identified and filled product gaps and generated new ideas that improved user experience and driven growth. 

Researched on Oracle ADF Mobile (Android & iPhone) implementation and integration.

Technical Architect/Manager

ValueMomentum

Comparative Rater Implementation using ONESHIELD - Policy Automation / Rating for 15 US states LOBs (Home & Auto Insurance).  Client: The Main Street America Group, USA
The Agency Manger (TAM) - Migration
CLION - R4 Integration - Client: Erie Insurance Group, USA

Project Lead

C Ahead Info Technologies India Pvt Ltd

Project - WAIO – Payment and Revenue Management System
Client - Department of Home Affairs, South Africa / 
GijimaAst

Project Manager

Perot Systems

Worked with major international clients in USA/UK/Germany/Malaysia.
1. New Billing System (Telekom, Malaysia)
2. DROPPOINT (DHL, Germany)
3. Migration Projects (CendantMobility, USA)
4. CLEARPRACTICE (Misys Healthcare)
5. Website Search Engine using NetDynamics(Southern California Edison @Los
Angeles, CA (USA))
6. Y2K Migration Project ESI @Virginia, USA
7. Sapphire Project, Wells Fargo Financial Services @Iowa,USA

Associate

Virtual Windows Pvt Ltd

Started VC++/MFC career with Virtual Windows Pvt Ltd/Virtual Softnet Canada Inc,
(Virtual Microsystems Group)

Senior Software Engineer

Elind Computers Pvt Ltd

Started my Visual Basic, Borland C++ & Object Windows Programming (OWL)  journey ....

Software Engineer

Senior Project Manager|Infosys|B.E(Hons) BITS, Pilani & PGD in ML & AI at IIITB & Master of Science in ML & AI at LJMU, UK | (Building AI for World & Create AICX)

Highly motivated professional with 31 years of experience in Project, Product, Program Management and Implementation with strong experience in various domains. Expertise in managing a wide range of high-revenue portfolios and directing worldwide large-scale IT teams. 
Involved in solution architecture, solutions and implementing best practices. Exploring career in data driven AI, ML and Data Science related projects to implement intelligent, predictive modeling, diagnostic, real-time, prescriptive, predictive analytics solutions efficiently, enhance systems or build new inhouse and client systems. 
Focusing Machine learning Supervised, Semi-supervised, Un-supervised learning), Deep learning, Reinforcement learning, Graph Neural Networks Research, XAI in the areas of Time Series Forecasting, Prediction, Anomaly Detection, Computer Vision, Speech and Audio Recognition, Signal Processing, Natural Language Processing (NLP),Knowledge Graphs Construction(Neo4j), Transformers, Building, Deploying ML Models(Streamlit, Flask, FastAPI, Docker). CI/CD ML Pipelines, LLMs, Text Mining in Documents, Image Processing, Video Pattern Recognition, Causality, Explainability / Interpretability, GPT, Large Language Models, ChatGPT, Prompt Engineering, Models Fine tuning, Experimenting with LangChain Framework and Retrieval Augmented Generation (RAG) using Google Gemini, BIG DATA, IOT, Cyber Security, GANs, OpenAI, Generative AI related business use cases and applications. Exploring ML in Google Vertex AI, Auto ML, MLOps in GCP, AWS, Azure and Google BigQuery. 
Enthusiastic in Research, Continuous learner and Mentor Managed, lead and inspired large teams across various levels, roles. Built successful delivery organization and delivered complex programs, projects across APAC, USA, UK regions. 
Collaborated with executive management, account management and business units to maximize business value.
Exploring, identifying diverse AI use cases across multiple industries and domains and has initiated the implementation of various Machine Learning models, AI Tools/AI Accelerators, and Cutting-edge technologies such as Generative AI (GenAI), Advanced Retrieval Augmented Generation (RAG) for Large Language Models (LLMs), ML/AI Models Fine-Tuning, Prompt Engineering, AI Agentic Applications and AI Robotic Process Automation (AIRPA) including Salesforce Agentforce. This transformative journey aims to evolve current Organizational Operations (OrgOps) into AI-Driven/AI-Powered Operations (AIOps) and Machine Learning Operations (MLOps) which inturn provides best AICX.

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Akshay Toshniwal

Bhaskara Reddy Sannapureddy

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