Jan 2024 – Jan 2025 · 1 yr · Hillsboro, Oregon, United States · Hybrid

• NPU/GPU Domain Lead for flighting of Intel drivers and the strategic extraction of system data for performance analytics. Proficient in leading technical operations and data-driven projects that enhance software functionality and system intelligence.

Aug 2023 – Feb 2024 · 6 mos · Bloomington, Indiana, United States · Remote

• Scaling and productionizing ML vision models for hair style transfer

Aug 2023 – Dec 2023 · 4 mos · Bloomington, Indiana, United States · On-site

• Data Structures - As a teaching assistant for this valuable course, I help foster an engaging and enriching learning experience to empower students with valuable skills for their future endeavors.
• Roles and Responsibilities:
• 1. Advanced Java Instruction: I provide hands-on instruction in contemporary Java topics, using the latest Java version alongside JDK20 to keep students up-to-date with cutting-edge technologies.
• 2. Collaborative Problem-Solving: I facilitate interactive problem-solving sessions, emphasizing JDK20 and the latest Java iteration. Leveraging JUnit and GitHub, I empower students to tackle complex challenges collaboratively.
• 3. Manual Development: I lead the creation of comprehensive manuals that elucidate mathematical foundations and practical code implementations, adhering to high academic standards.
• 4. Quiz Design: I design quizzes focusing on key principles like code optimization, time complexity, and space complexity to foster a robust understanding of core programming concepts.
• 5. Instructional Collaboration: I closely collaborate with the lead professor, curating top-tier materials and formulating challenging assignment questions weekly to enhance the learning experience.
• 6. Test Case Generation: I develop diverse test cases, emphasizing edge case detection and rectification. Cross-system testing ensures broad code generalizability, enhancing assessment rigor.
• 7. Grading: I conduct meticulous weekly grading, ensuring accurate evaluation of students' comprehension and application of course materials, providing valuable feedback for their growth.
• 8. Office Hour Consultations: During dedicated office hours, I offer in-person tutoring to assist students in bridging knowledge gaps and resolving technical challenges, supporting their academic success.
• 9. Active Class Participation: I regularly attend lectures, actively engage in assignments and quizzes, and proactively align with students' progress, identifying areas for instructional enhancement.

Jan 2023 – Aug 2023 · 7 mos · Santa Clara, California, United States · Remote

• Leveraged OpenAI's whisper for video transcription on 50+ hours of footage and performed speaker diarization through pyannote library followed by agglomerative clustering for speaker verification. My responsibilities included:
• 1. Tech Exploration: Explored various tools and libraries, such as Python's moviepy and speechrecognition modules, to extract audio from videos and convert it into text.
• 2. Machine Learning Expertise: Researched advanced ML models like OpenAI's whisper, Google Cloud's Speech-to-Text, and Hugging Face Transformers, implementing the 'facebook/wav2vec2-base-960h' model for highly accurate transcription.
• 3. Sentiment Analysis & Motion Detection: Played a pivotal role in transcribing Zoom meeting recordings for sentiment analysis. Additionally, I delved into motion detection, including weapon detection.
• 4. Video Processing Proficiency: Conducted in-depth research on video-to-frames conversion methods and mastered image segmentation techniques.
• 5. Machine Learning Models: Explored models for omitting similar images during conversion, highlighting the importance of image similarity detection.
• 6. Audio Segmentation & Speaker Diarization: Researched audio segmentation, employing tools like ffmpeg and pyannote. This enabled speaker diarization and the creation of comprehensive subtitle files with timestamps and speaker labels.
• 7. Skills Acquired: Acquired technical skills in Python, Audio Processing, NLP, and Machine Learning. Proficient in tools and frameworks such as Moviepy, Whisper, GIT, and more. Practices included Research & Development, API Integration, and Agile Methodology.
• 8. Academic Influence: Courses like Advanced Database Technologies, Applied Algorithms, and Applied Machine Learning significantly complemented my work.

May 2020 – Dec 2021 · 1 yr 7 mos · India · On-site

• Arcesium D.E Shaw
• 1. Developed code in Python to transform large data sets from API into excels. This includes creating income sheets and balance sheets using Pandas data frames from scratch for financial applications that gave scope to innovation and decision-making
• 2. Designed and implemented test cases for UI and API automation using Cypress
• 3. Automated scripts and scheduled weekly jobs using Jenkins
• 4. Used Agile/SCRUM methodology with exposure to tools like JIRA and GIT to estimate work hours and track progress

Jan 2019 – May 2020 · 1 yr 4 mos · On-site

• 1. Tweaked software settings and used database indexing to improve software performance
• 2. Proposed and implemented optimization techniques using Postgresql by writing database
• procedures and functions for handling immense data-efficient transformation, storage and
• retrieval in database
• 3. Identified areas for modification in existing project and subsequently developed these
• modifications to enhance functionalities like form submission using HTML and JAVA

Oct 2018 – Feb 2019 · 4 mos · Noida, Uttar Pradesh, India · On-site

• 1. Spearheaded full-stack development initiatives, focusing on loan and card application systems.
• 2. Leveraged diverse tech stacks to enhance submission rates, achieving a 40% increase for leading banks.
• 3. Expertly crafted reusable React components tailored for cross-application adaptability.
• 4. Streamlined deployment processes across multiple platforms, ensuring compatibility and efficiency.
• 5. Realized a significant 25% reduction in development cycles, optimizing product-to-market timelines.