Nitish .

Data Scientist(Google)

Turing.com

Apr 2024 - Apr 2025 (1 year 1 month)

As a Data Scientist at Google, I leveraged advanced data analysis techniques to extract insights and drive decision-making processes. My responsibilities included developing predictive models and conducting rigorous data evaluations to enhance product performance. Additionally, I worked directly with LLM APIs such as ChatGPT, Claude, and Gemini to evaluate outputs, fine-tune models, and improve prompts, ensuring the highest quality of data-driven solutions. I also benchmarked video generation models like Google Veo 3 for internal evaluation use cases, which involved both qualitative and quantitative analysis of outputs, making this experience highly relevant to my role.

Digital Specialist Engineer

Infosys

Apr 2022 - Apr 2025 (3 years 1 month)

As a Digital Specialist Engineer, I was responsible for designing and implementing innovative digital solutions tailored to meet client needs. My role involved collaborating with cross-functional teams to enhance system performance and user experience. Additionally, I contributed to enterprise-grade backend systems for financial institutions, focusing on Fintech modules, API development, and SaaS-based workflows. I designed and consumed RESTful APIs, implemented KYC compliance checks, and ensured secure integration with platforms like Plaid. Furthermore, I engaged in end-to-end full-stack development, utilizing Java/Spring Boot for backend and React for frontend, which allowed me to align closely with SaaS and Fintech product teams, enhanci

Cloud Architect using Microsoft Azure - Scholarship Program

Udacity

Dec 2021 - Feb 2022 (3 months)

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Software Developer

Wiley Edge

Jul 2021 - Feb 2022 (8 months)

- Completed Java Full-Stack Development training with The Software Guild, focusing on Java Web Technologies including Spring Frameworks, ChatGPT, Maven, SQL, and Cassandra. - Earned the Aspire 1000 Scholarship for Core Java Professional Development, creating independent stand-alone Java applications that implement the MVC model design. - Contributed to projects at Wiley Edge that supported financial institutions, where I played a key role in building backend systems for transaction processing and data reconciliation. This experience involved secure data handling, integrating with banking APIs, and understanding financial data flows, all of which adhered to Fintech development standards and requirements. Additionally, I explored incorporat

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Research And Development Intern

Cellular Operators Association of India COAI

Dec 2020 - Mar 2021 (4 months)

👉🏻 Completed a Live Project of AgriTech in Akola District. 👉🏻 Contributed to a Live project of Odisha Minerals. 👉🏻 Contributed in various other domains including EdTech and HealthTech. 👉🏻 Tech expertise in IoT over MQTT, Edge AI on IoT, OpenVino, and Data Science. 👉🏻 Explored AI policy implications and regulatory frameworks surrounding generative AI models like ChatGPT, enhancing my understanding of the ethical considerations in technology development. Additionally, studied model behavior in telecom data processing scenarios, which provided insights into data management and analysis relevant to my research and development work.

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COAI

IoT-Solutions

Dec 2020 - Jun 2021 (7 months)

In my role at COAI, I was responsible for evaluating and implementing innovative solutions to enhance user interaction with IoT dashboards. This involved conducting feasibility studies and collaborating with cross-functional teams to integrate advanced technologies into smart systems. Additionally, I utilized ChatGPT to assess real-time chatbot solutions, which significantly improved user engagement and streamlined communication processes within our projects.

Nutanix® hybrid cloud scholarship program

Udacity

Jun 2020 - Dec 2020 (7 months)

Learned how to design, deploy, and maintain Hybrid Cloud infrastructure from one of the leaders in the industry.

AWS Machine Learning Foundational course

Udacity

May 2020 - Jul 2020 (3 months)

Completed the AWS Machine Learning Foundational course, which provided a comprehensive introduction to building and deploying machine learning models. The course emphasized practical applications and included hands-on experience with the OpenAI API. As part of the capstone exercises, I practiced text generation and prompt tuning using ChatGPT, enhancing my understanding of advanced machine learning techniques and their real-world applications.

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AWS Educate Ambassador

Amazon Web Services AWS

Apr 2020 - Mar 2021 (1 year)

👉🏻 Was among the top 75 candidates selected for India in this program. 👉🏻 I Have conducted various webinar to make students and friends aware about the Tech Stack of cloud technologies on AWS. while going through this period I have explored various other technologies. 👉🏻 Aimed at helping people grow and understand AWS as a cloud technology. 👉🏻 Got to learn so many things in community events which were held online. I have also gave them many feedback making update in Educate site. 👉🏻 Also explored different services like DeepRacer and Amazon Bracket (provides remote access to a single development environment for quantum compute users).

Scholarship

Udacity

Apr 2020 - Jul 2020 (4 months)

Udacity offered me a Nanodegree program in the Intel® Edge AI Scholarship. After my Foundation program result from Udacity 😁:-- "Out of thousands of students in the Scholarship OpenVINO Foundational Course, your progress in the course and dedication in the community really stood out. We’ve been impressed and we’re excited for you to continue the journey!" Completed Certificates with several exciting projects !!!!!!!!

Scholarship Intel® Edge AI Foundations

Udacity

Dec 2019 - Mar 2020 (4 months)

During my time in the Intel® Edge AI Foundations program, I gained a comprehensive understanding of the fundamentals of AI at the Edge, including leveraging pre-trained models available with the Intel® Distribution of OpenVINO Toolkit™, converting and optimizing models using the Model Optimizer, and performing inference with the Inference Engine. Additionally, I explored various topics relevant to edge applications, such as MQTT and video streaming to servers. Furthermore, the course introduced the role of large language models (LLMs) like ChatGPT, highlighting how they can enhance edge workflows through command translation and dynamic voice/text interfaces, thereby broadening my perspective on integrating AI technologies.

Scholarship deep learning by Facebook & Bertelsmann University

Udacity

Nov 2019 - Mar 2020 (5 months)

During the Scholarship program in deep learning by Facebook & Bertelsmann University, I acquired foundational knowledge in deep learning, exploring various types of neural networks, including convolutional neural networks and recurrent neural networks. I successfully built my own deep neural networks utilizing PyTorch, an open-source machine learning library for Python. Additionally, I engaged with transformer models and fine-tuning techniques, applying ChatGPT-like models to natural language processing tasks such as summarization and question-and-answer generation using Hugging Face libraries, which enhanced my understanding of advanced NLP applications.

Scholarship AWS DeepRacer

Udacity

Sep 2019 - Nov 2019 (3 months)

The AWS DeepRacer course consists of a series of short lessons where I learned the basics of reinforcement learning and its application in AWS DeepRacer. I gained insights on how to build, train, and deploy my racing models, ultimately competing in the DeepRacer league. Additionally, while focused on reinforcement learning for autonomous racing, I experimented with ChatGPT to generate Python-based reinforcement learning strategies and analyze model behavior through prompt-based simulations, enhancing my understanding of model optimization and performance evaluation.

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AI/ML on IBM Watson Studio(Summer Internship)

SmartBridge Educational Services Private Limited

Jun 2019 - Jul 2019 (2 months)

During my summer internship focused on AI/ML on IBM Watson Studio, I engaged in various projects that enhanced my understanding of machine learning algorithms and their applications. I worked on developing models that improved data processing and analysis, contributing to the overall efficiency of the projects. Additionally, I explored Natural Language Processing (NLP) and conversational AI using IBM Watson Assistant, comparing its capabilities with transformer-based models like OpenAI’s ChatGPT for tasks such as text summarization and response generation. This experience not only deepened my technical skills but also provided insights into the evolving landscape of AI technologies.

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Nitish's behavioral traits
Nitish's likely patterns of behavior, thought, values, and emotion. Based on the HEXACO model, OCP instrument, and Torre’s own research.