Sep 2023 – Apr 2024 · 7 mos · Pune, Maharashtra, India

• I worked on evaluating the performance and scalability of Deep Learning based noise cancellation models such as DeepFilterNet3 and SpeechBrain on noisy Indic speech data. The goal was to identify model limitations and optimize deployment for low compute environments. I curated 280 hours of high quality Indic speech data by scraping and processing multilingual news channel feeds and optimized CUDA kernels to improve model inference and throughput on GPU resources. I also conducted comparative evaluations against industry benchmarks to measure latency, accuracy, and resource utilization. These efforts resulted in a comprehensive performance study of scalable noise suppression for Indic languages, which was later submitted to Interspeech 2024.

Aug 2023 – Mar 2024 · 7 mos · Pune, Maharashtra, India

• Developed the flagship product lineup of blue team cyber security services. The MVP was a phishing simulation SaaS tool leveraging SMTP spoofing to enhance employee cyber-awareness training. Integrated device detection features for phished emails and migrated the production environment to reduce deployment costs by 20%. Deployed the software on-premise for select clients, contributing directly to revenue growth and requirements elicitation. Additionally, I also developed a dashboard using React.js to track, combine, and analyze vulnerability reports across multiple OSS tools for modern software systems.

May 2023 – Jul 2023 · 2 mos · Pune, Maharashtra, India · Hybrid

• As a part of Mastercard's Payment Gateway services team, I worked on enhancing the efficiency and traceability in the Product and Engineering (PAE) DevOps pipeline. Streamlined workflow for 40 teams spread across 6 countries, decreasing the critical issue resolution time for releases. Designed a proximity payments Point-of-Sales machine for the annual intern innovation challenge.

Mar 2023 – Apr 2024 · 1 yr 1 mo · Pune, Maharashtra, India · On-site

• Researched the impact of Hybrid Sampling techniques on ML-based Network Intrusion Detection Systems under the guidance of Dr. K. C. Waghmare. All studies were focused on the publicly available UNSW-NB15 dataset. Our research findings have been accepted and published at the 7th IEEE International Conference on Inventive Computation Technologies 2024, Lalitpur, Nepal. Received my Honors in Machine Learning alongside my Bachelors degree for my contributions.

Feb 2023 – May 2023 · 3 mos · Mumbai, Maharashtra, India · Remote

• Developed an AI-powered desktop app for automating invoice data entry and tax code compliance for a business. Reduced the number of manual keystrokes required during data entry by 68%. Improved OCR tagging for receipts using LLM based text analysis. This was my first freelance project!
• Techstack: ElectronJS, Tesseract, Tensorflow, MySQL

Aug 2022 – Dec 2022 · 4 mos · Pune, Maharashtra, India · On-site

• Developed mobile-cloud integrated systems enabling real-time, personalized interactions using sensor networks. Explored use cases such as proximity-based payments, no-contact ticketing, crowd analysis, and smart tourism. Performed deployment tests to evaluate detection range and system behavior in sparse connectivity conditions. Our findings have been accepted and published at the 5th IEEE Conference on Emerging Smart Computing and Informatics.

Mar 2018 – Jul 2018 · 4 mos · Mumbai, Maharashtra, India

• As a part of their 'Young Sparks' Initiative, I along with a team of 8 created a Short-Film based on the life of Underprivileged kids and their journey to receiving great meritorious heights with the help of KEF. I interviewed the subjects about their journey and created an entire storyboard. We carried out all the Pre/Post-production and released the Short-Film for the Company to use along with the team.