Sep 2024 – Jun 2025 · 9 mos · Gurugram, Haryana, India · On-site

• Developing cassprAIR : Canva for social media GTM strategy!

Jun 2024 – Sep 2024 · 3 mos · San Francisco Bay Area

• As an AI Research Scientist, I spearheaded exploratory and applied research in the domain of Generative AI, with an emphasis on the interpretability and optimization of large language models (LLMs). My responsibilities encompassed comprehensive literature reviews and meta-analyses of cutting-edge research, enabling the identification of emergent trends, architectural innovations, and performance benchmarks across transformer-based models. These synthesized insights were systematically relayed to senior leadership, informing the strategic development of next-generation conversational agents. I contributed significantly to the enhancement of agent dialogue systems, focusing on multi-turn coherence, contextual reasoning, and conflict resolution strategies. Also, I participated in the evaluative design and benchmarking of agent behaviors under diverse interaction paradigms, ensuring scalability and efficacy in real-world deployment contexts.

Mar 2024 – Sep 2024 · 6 mos

• I approach machine learning projects through a structured pipeline involving problem formulation, data preprocessing, and iterative model development. I begin by understanding the domain-specific context and defining measurable objectives. Data is cleaned, normalized, and transformed to support robust learning, whether it involves tabular, text, or image formats. I leverage frameworks such as TensorFlow, scikit-learn, and OpenCV to develop and fine-tune models, employing techniques like cross-validation, regularization, and hyperparameter optimization. Results are evaluated using performance metrics aligned with business or research goals, and findings are communicated through interactive visualizations and well-documented outputs to ensure clarity, reproducibility, and deployment-readiness.

Mar 2024 – Apr 2024 · 1 mo

• During the internship, a machine learning-based solution for fraud detection was developed. Responsibilities included data analysis, preprocessing, and feature engineering to prepare data for model training. A high-accuracy model was built and evaluated, achieving significant precision and recall scores. The model was implemented into a real-time system for continuous monitoring and detection of fraudulent activities. Processes for ongoing evaluation and improvement were established to ensure the system's effectiveness.

Feb 2024 – Mar 2024 · 1 mo

• Supported data collection, team collaboration, and meetings for understanding customer business goals. Contributed to initial model deployment. Utilized cloud data technologies for analyzing large datasets.
• Executed queries, and reports for ensuring data integrity. Developed complex SQL queries for data analysis and quality improvement.

Jul 2023 – Sep 2023 · 2 mos

• Performed data visualization, cleaning, and exploratory analysis. Developed decision tree models to analyze sentiment trends in social media and identify patterns in traffic accident data. Enhanced skills in data manipulation, analysis, and modeling, contributing to predictive analytics for pattern
• detection.

Jan 2023 – May 2023 · 4 mos · Bhopal, Madhya Pradesh, India

• Led 3D visualization projects to enhance client presentations.
• Contributed to government school projects, improving educational infrastructure.
• Interacted with clients to ensure project satisfaction.
• Collaborated with a multidisciplinary team to meet deadlines and deliver quality results.

Jan 2023 – Apr 2023 · 3 mos

• I am honored to be part of the Internshala Student Partner Program, where I've helped students learn more about Internshala's internship opportunities, job opportunities, and courses, spreading student knowledge in the areas of leadership, communication, and networking.

Jan 2022 – Jul 2022 · 6 mos

Jan 2021 – Dec 2021 · 11 mos

Dec 2019 – Dec 2020 · 1 yr

Jan 2021 – Present · 5 yrs 5 mos · San Francisco, California, United States

• We build AI systems for the AEC industry, integrating NBC, ECBC, GRIHA, IS codes, and real estate standards to automate compliance and optimize design. Our AI agents enhance efficiency, sustainability, and creativity — redefining architectural design and construction through intelligent automation.

Sep 2020 – Present · 5 yrs 9 mos

• I began my YouTube journey as an architecture student, sharing insights and practical advice to support fellow students. As I transitioned into an AI engineer role, my channel evolved to cover AI-related topics, from informative tutorials to personal vlogs that share my experiences and growth in the tech field. My content now brings together design, technology, and personal reflections, offering a unique, interdisciplinary perspective aimed at students and professionals alike. Through each video, I strive to make learning engaging, accessible, and relevant to today’s rapidly changing fields.

Oct 2019 – Aug 2020 · 10 mos