Jan 2025 – Jul 2025 · 6 mos · Bengaluru, Karnataka, India · On-site

• Developing, fine-tuning, and deploying deep learning models for medical data processing, including clinical text, imaging, and structured data.
• Leveraging MLOps best practices, including model monitoring, retraining strategies, and automated deployment using CI/CD pipelines.
• Optimizing model inference for low-latency real-time decision-making in clinical workflows.
• Conducting research on AI advancements in healthcare, evaluating new methodologies for potential implementation.

Nov 2024 – Feb 2025 · 3 mos · Bengaluru, Karnataka, India · Remote

• Built an AI-powered Text-to-Video Generation product, developing a pipeline that transforms text prompts into high-quality, realistic video outputs.
• Engineered an adaptive AI pipeline integrating Flux AI for image generation and Kling/HailuoAI for video synthesis, ensuring smooth transition from static images to dynamic videos.
• Designed and optimized FastAPI-based backend services, enabling efficient asynchronous processing, API endpoint optimization, and real-time video generation with minimal latency.
• Conducted model evaluation and fine-tuning of Sora, Runway, Kling, and HailuoAI, assessing motion accuracy, facial expression generation, and overall visual coherence for improved synthesis quality.
• Implemented advanced prompt restructuring techniques, breaking down a single user input into multiple sub-prompts to generate diverse visual outputs, ensuring better contextual accuracy and video realism.

Oct 2024 – Dec 2024 · 2 mos · Noida, Uttar Pradesh, India · On-site

• Built and optimized data pipelines using Apache Airflow for seamless data processing and integration.
• Deployed machine learning models on Azure, incorporating MLOps for efficient lifecycle management.
• Designed scalable APIs to enable real-time model inference for NLP and computer vision applications.
• Developed an NLP pipeline for keyword extraction and SEO optimization..
• Implemented text classification for article categorization and topic suggestions.
• Analyzed user engagement to predict content performance and optimize strategy- Developed an NLP pipeline for keyword extraction and SEO optimization..
• Automated data preprocessing tasks with Python, streamlining feature engineering workflows.
• Enhanced database architectures to support efficient data retrieval and storage for high-traffic use cases.
• Collaborated with teams to deliver end-to-end cloud-based AI solutions, ensuring scalability and reliability.

Aug 2024 – Jun 2025 · 10 mos · India · Remote

Aug 2024 – Oct 2024 · 2 mos · Roorkee, Uttarakhand, India · On-site

• Deep Learning Researcher at PAttern Recognition, Image processing and MAchine Learning (PARIMAL) Labs, an inter-disciplinary endeavour founded by Dr. Partha Pratim Roy of Department of Computer Science and Engineering at IIT Roorkee in 2018.
• Designed and implemented multi-agent AI models, improving system efficiency by 15% in distributed environments.
• Conducted research on transformer architectures and LLMs, contributing to advancements in AI-driven applications.
• Optimized model training pipelines using PyTorch, TensorFlow, and Azure ML, reducing training time by 20%.
• Deployed AI solutions on Azure, utilizing APIs and containerized workflows to ensure scalability and efficiency.
• Integrated MLOps practices for continuous deployment and monitoring, streamlining the model lifecycle.
• Fine-tuned LLM models for domain-specific tasks, improving predictive accuracy to over 95%.
• Leveraged Azure Cognitive Services to enhance the deployment of AI APIs for real-time analytics.
• Collaborated on advanced AI applications, including NLP and computer vision, driving cross-domain innovations.

Jun 2024 – Aug 2024 · 2 mos · Dehradun, Uttarakhand, India · Remote

• To work closely with our SEO experts to optimize our clients' websites, improve their search engine rankings, and drive organic traffic. The opportunity to gain real-world experience in SEO.

Jul 2023 – Oct 2023 · 3 mos · Bhubaneswar, Odisha, India · Remote

• Enhanced database systems with AI-based optimizations, reducing query response time.
• Designed and implemented automated data pipelines, improving data integrity and reducing processing errors.
• Integrated machine learning algorithms to improve data retrieval accuracy.
• Migrated legacy databases to modern platforms, ensuring a 10% boost in operational efficiency.
• Collaborated with teams to develop scalable database architectures.

Jul 2023 – Jul 2023 · 0 mo · Bengaluru, Karnataka, India · On-site

• Developed data-driven dashboards with Tableau and Power BI, increasing operational clarity for stakeholders.
• Extracted and analyzed datasets to identify trends, driving 20% improvement in marketing strategies.
• Built predictive models that enhanced customer retention by 7%, supporting data-backed decision-making.
• Automated data preprocessing workflows using Python, reducing manual effort.
• Delivered comprehensive data reports, aligning with client requirements and improving communication.

Dec 2022 – Jul 2024 · 1 yr 7 mos · On-site

• Hosting & coordinating various events in the university for the ECE Dept, International Relations & various Technical events.

Nov 2022 – Feb 2023 · 3 mos · On-site

• LAVAZA'23 a all India Technical-Cultural Fest held annually in the college, where nearly 100+ institutions around the state & India Participate in various technical & cultural events held in the week. Closing ceremony with a Pro-show.

Jun 2022 – Jun 2022 · 0 mo · Jamnagar, Gujarat, India · On-site

• The Electrical & Electronics School of The Indian Navy.
• Studied functioning of Radar, Microwave, Electronic Warfare, Signal Processing, SONAR, Communication, Fiber Optics.
• Discussed the operation, maintenance repairs of specific Electrical weapons.