Naman Jain

Currently developing and optimizing scalable software systems for large-scale data and operations at Ingram Micro, enhancing efficiency and user performance.

• Developed a cloud cost update system, enabling real-time tracking, validation, and progress monitoring for file uploads, significantly improving data integrity.
• Engineered an asynchronous validation engine with mail alerts, enhancing system reliability and real-time communication for error detection.
• Built a scalable export system utilizing BigQuery and gsutil, efficiently processing over 100,000 records in under 10 seconds through optimized merging techniques.
• Leveraged ElasticSearch to optimize large data lookups, reducing search latency by 80% and significantly improving user performance.
• Resolved API race conditions and optimized batch processing logic, ensuring minimal latency for high-volume operations.

Contributed to AI and chatbot development, automating QnA generation and refining conversational accuracy, leading to a Pre-Placement Offer.

• Secured a Pre-Placement Offer (PPO) for exceptional performance and significant contributions during the internship.
• Developed AI features for a chatbot using MS Bot Framework SDK and Azure Cognitive Services, assisting Business Unit heads in patent and IP management.
• Automated a Python-based QnA generator, scraping website FAQs and updating the bot's knowledge base via .tsv refresh scripts, improving content freshness.
• Optimized confidence score thresholds to refine fallback logic, ensuring delivery of top N relevant queries even when the bot faced uncertainty.

Conducted materials science research, focusing on data mining, predictive modeling, and alloy design, with the final report accepted under the SURGE Program.

• Predicted and plotted creep curves for α-β Ti-6Al-4V alloys by mining and modeling high-temperature material behavior.
• Automated extraction of creep data from over 10 research PDFs using Python, NLP, and regex pattern identification.
• Engineered features using PCA and Pearson correlation, applying linear regression to develop robust predictive models for high-tolerance alloy design.

A 2D projectile shooter game developed in Unity (C#) by a 6-member team for the Android platform, featuring real-time multiplayer capabilities.

Selected for Summer Research 2024 at National Tsing Hua University, Taiwan, as one of 10 students globally, highlighting research aptitude and international recognition.

Contested elections for General Secretary, Science and Technology, IITK, showcasing leadership aspirations and securing significant voter support (missing victory by 9 votes out of 3600 active votes).

Secured Rank 18 in the International Reasoning and Aptitude Olympiad 2017, demonstrating strong analytical and problem-solving skills.