Aug 2023 – Sep 2024 · 1 yr 1 mo

Sep 2021 – Aug 2023 · 1 yr 11 mos · Remote

• LLM model development, Algorithm Training.
• Architecture design, managing SLDC & project planning
• End to End customized automation solution development

May 2020 – Sep 2021 · 1 yr 4 mos · Sacramento, California, United States

• Aspiranet is an U.S. Government funded social organization that works with foster kids and single mothers for their social upliftment.
• ▪ Intelligent Process Digitalization:
• Transformed and automated multiple processes by embedding AI-powered analytics and predictive models, such as anomaly detection and recommendation engines, to enhance service delivery for foster kids and single mothers.
• ▪ Advanced Scheduled Task Automation:
• Implemented scheduled task automation combined with AI-based insights, including predictive analytics to optimize operations and resource allocation.
• ▪ AI-Centric Technical Solution Design:
• Designed and developed technical solutions with a focus on cognitive automation—leveraging natural language processing (NLP) for chatbots and data-driven insights to improve user engagement and operational efficiency.
• ▪ Cross-Functional Collaboration in AI Adoption:
• Actively communicated and collaborated with cross-functional teams and users from diverse backgrounds, championing the integration and adoption of AI-enabled technologies to drive social upliftment.
• ▪ Digitalized and automated multiple process.
• ▪ Scheduled task automation.
• ▪ Technical Solution designing and development.

Dec 2017 – May 2020 · 2 yrs 5 mos · Kanpur Area, India

• Developed advanced chatbots and conversational agents using IBM Watson, Microsoft Bot Framework, and Google Dialogflow, enhancing customer engagement and user interaction.
• Built NLP models with deep learning frameworks (TensorFlow, Keras, and Theano) employing RNNs and LSTMs for robust language understanding.
• Implemented computer vision solutions using CNN architectures like Inception and ResNet for accurate image recognition.
• Integrated voice assistant technologies, including Amazon Alexa and Google Assistant, to create intuitive, voice-enabled applications.

Aug 2017 – Jan 2018 · 5 mos · New York, New York, United States

• Vemba Corp. operates a video exchange platform for producers, publishers, and marketers by ingesting, distributing, monetizing, and recommending content.
• As a developer at Vemba my responsibilities were:
• ▪ Intelligent Video Ingestion & Metadata Extraction:
• Develop computer vision and natural language processing models to automatically analyze, tag, and extract metadata from video content. This will facilitate efficient indexing, searchability, and content curation across the platform.
• ▪ Content Recommendation & Discovery:
• Design and implement AI-powered recommendation systems using collaborative filtering, deep learning, and reinforcement learning techniques. Your work will help tailor content suggestions to individual user preferences and drive audience engagement.
• ▪ Monetization Optimization:
• Create algorithms to analyze viewer behavior and engagement metrics, enabling dynamic ad placements and personalized content monetization strategies. This includes predictive analytics for revenue forecasting and performance optimization.
• ▪ Audience Extension & Syndication:
• Develop models to identify optimal distribution channels and content syndication strategies. Utilize AI to forecast trends and extend the platform's reach to new audiences, ensuring that video content is distributed effectively across various channels.
• ▪ Scalable Model Deployment & Integration:
• Collaborate with cross-functional teams to integrate AI solutions seamlessly into Vemba’s existing infrastructure. This includes working on cloud-based deployments and real-time data processing pipelines that support the platform’s scalability and reliability.
• ▪ Data-Driven Insights & Continuous Improvement:
• Leverage machine learning and statistical analysis to monitor system performance, analyze user feedback, and iteratively improve algorithms. Your insights will drive continuous innovation in content discovery and platform efficiency.

Jun 2015 – Aug 2015 · 2 mos · India

• Worked as a Java Development Intern and worked on one of their most prestigious projects online exams and score system.
• Languages used : JAVA, HTML, CSS
• Frameworks used : Spring