Jul 2023 – Jun 2024 · 11 mos

• Optimized daily metadata processing for millions of datasets by transitioning from a proprietary format to Parquet, resulting in a 30% cost reduction, saving millions, and accelerating file creation by 70%, significantly enhancing efficiency for the LLM project.
• Employed Celery in conjunction with Redis/RabbitMQ as the message broker to efficiently distribute data-related tasks across multiple worker nodes, achieving a 3x improvement in task completion rates.
• Collaborated on the design of a distributed computing framework for handling large-scale metadata processing tasks, leading to a substantial reduction in processing time and notable throughput improvement
• Spearheaded codebase refactoring and optimization efforts, resulting in an 80% reduction in service calls, leading to enhanced system performance and substantial cost savings for storage

May 2021 – Jul 2023 · 2 yrs 2 mos

• Revamped architecture using C++, Python, Go, Postgres, Docker, and Redis to enhance latency and accuracy
• Engineered robust, scalable solutions tailored to buy-side clients, including hedge funds, prop trading firms, and banks within the financial industry.
• Refactored existing codebase and created Docker setups with RabbitMQ monitoring to support efficient communication between different software components, resulting in improved deployment and scalability, and reducing troubleshooting time by ~20%

Jun 2023 – Jun 2024 · 1 yr

• Enhanced the LLM's data processing and model training pipelines, leading to a 25% increase in efficiency and a 15% enhancement in output precision across varied tasks without the direct use of NLP algorithms.
• Evaluated AI-generated responses using a Side-by-Side (SxS) scoring system, enhancing model accuracy by ranking based on key dimensions.

Sep 2021 – Jan 2023 · 1 yr 4 mos

• Personalized Coaching for over 600+ Clients starting from July 2021
• 100% of Clients landing roles in their Top 3 Companies within 3-6 months time
• Provide Technical Mock Interviews and Behavioral Mock Interviews similar to what is to be seen in FAANG+ Interviews

Sep 2019 – May 2021 · 1 yr 8 mos · New York City Metropolitan Area

• Designed and generated visualizations that helped with the interpretation and explanations of the identified patterns within the PPP loan system
• Acted as cross-functional lead to develop relationships with potential customers to determine their use cases and adjusted application design to provide maximum value and utility to the customer
• Review and integrate application requirements, including functional, security, integration, performance, quality and operations

Mar 2018 – May 2019 · 1 yr 2 mos · New York City Metropolitan Area

• Worked with three executive board members to create, organize, and execute professional events from F50 Companies
• Orchestrated campaigns and mentorships, resulting in an increase of over 80 active members within three weeks’ time in April 2018
• Founded the first annual 'Tech Expo' where the AIS accumulated over 40 reps from 20 companies for a networking event for undergraduate students

Jun 2017 – Sep 2019 · 2 yrs 3 mos

• Certified Advanced Level II Tutor with over 400+ hours of experience tutoring small cohorts of students with diverse needs in quantitative courses such as Python for Analytics, Data Mining, Calculus and Statistics
• Created eight comprehensive lesson plans whos foundation was created using data from students to determine the most efficient method of teaching specific topics, increasing overall averages each subsequent semester.
• Assistant Professor for Calculus courses consisting on average, 30 students and resulting in an average passing rate of 92%