Sarvesh Shirude
Teaching Assistant @ Mays Business School - Texas A&M University
About
I am a Data and AI Engineer currently pursuing my M.S. in Management Information Systems at Texas A&M University, Mays Business School. I enjoy building scalable data and AI systems that turn raw information into reliable insights and real operational impact. I previously worked at HDFC Bank as a Data Analytics Engineer, where I built time-series forecasting models to predict hiring demand across 150+ roles and multiple business verticals using large-scale employee lifecycle data. I designed Python-based ETL pipelines and Power BI dashboards that helped leadership track workforce metrics in real time and reduced average hiring timelines by nearly 45%. I also automated credit and operational workflows using RPA, eliminating hours of manual reporting and reducing human error. Earlier at HDFC Bank, I worked as a Data Intern, applying NLP techniques on large volumes of underwriter comments to extract actionable insights for credit decisioning. By automating deviation–mitigant mapping through Python, I helped reduce loan application turnaround time and improve consistency in credit evaluations. Alongside industry work, I explored applied AI research at VJTI’s CoE-CNDS Lab. There, I contributed to pre-training and instruction-tuning a 1.3B-parameter Indic language model, working with large multilingual corpora, GPU clusters, and parameter-efficient fine-tuning techniques. This experience deepened my understanding of large language models beyond APIs, from data curation to evaluation and optimization. At Texas A&M, I continue to build end-to-end systems through hands-on projects, including an AI-powered engagement platform for the MIS Council, and a high-availability data infrastructure on AWS for E-commerce platform. I enjoy working across the stack, from databases and cloud infrastructure to data pipelines and user-facing applications. Technical Skills: Python | SQL | AWS | Power BI | PostgreSQL | MongoDB | React | Next.js | LangChain | RAG | NLP | Machine Learning I care about building systems that are practical, scalable, and grounded in real-world use. My goal is to work on data and AI products where strong engineering meets meaningful business outcomes. 📫 I’m actively exploring summer 2026 internship opportunities in AI/ML Engineering, data scientist and engineering.
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United States
Higher Education
Data Engineering, Software Development, Oral Communication, Organization Skills, Cross-functional Collaborations, Data-flow Diagrams, Information Security, Event Coordination, Communication, Collaboration, Graphic Design, Canva, Event Management, Leadership, Collaborative Problem Solving, Teamwork, Event Photography, MATLAB, Image Processing, Medical Imaging
Experience
Teaching Assistant
Mays Business School - Texas A&M University
Texas, United States
Teaching Assistant for ISTM 320 (Business Systems Analysis and Design) & ISTM 455 (Cybersecurity Management) at Texas A&M University
Data Analytics Engineer
HDFC Bank
Mumbai, Maharashtra, India
● Implemented statistical time series forecasting algorithms (ARIMA, SARIMA) to predict HR hiring demand across 150+ job roles and 20+ business verticals, leveraging 300K+ employee lifecycle records ● Engineered Python-based ETL scripts to transform raw HCM portal data into interactive Power BI dashboards, enabling stakeholders to track real-time workforce metrics and cutting average time-to-hire from 45 to 25 days ● Designed and developed RPA workflows using UiPath and Excel Macros for credit and operational teams, saving 4+ hours of daily manual effort and mitigating human error through automated reporting
Student AI Engineer
CoE CNDS Lab VJTI
Mumbai, Maharashtra, India
● Pre-trained a 1.3B-parameter Indic (Marathi) Small Language Model on a 100GB corpus, achieving a training loss of 2.8 ● Developed a translation pipeline using AI4Bharat Neural Machine Translation models and data parallelism on NVIDIA DGX V100 GPUs to synthesize 700K+ instruction records with a BLEU score of 50 ● Instruction-tuned the model using Low-Rank Adaptation- Parameter Efficient Fine Tuning (PEFT) on curated datasets to improve language understanding, resulting in a fine-tuning loss of 0.7
Data Intern
HDFC Bank
Mumbai, Maharashtra, India
● Applied NLP techniques including TF-IDF and N-gram modeling on 70K+ monthly underwriter comments to extract specific mitigants for credit deviations in personal loan applications ● Developed a Python automation script to map deviation-mitigant relationships from recurring monthly reports, reducing loan application turnaround time by 25%
Research Assistant
Digital Signal Processing (DSP) Lab VJTI
Mumbai, Maharashtra, India
Digital Head
Enthusia VJTI
Event Manager
Enthusia VJTI
Event Coordinator
Enthusia VJTI
Design Sector Representative
Pratibimb VJTI
Sector Representative
Rangawardhan
Education
Mays Business School - Texas A&M University
Management Information Systems, General
Spring '26: • ISTM 665: Cloud Computing Technologies (Dr. David Gomillion) • ISTM 635: Business Information Security (Dr. Ravi Sen) • ISTM 643: Corporate Information Planning (Dr. Michael Scialdone) Fall '25: • ISTM 622: Advanced Data Management (Dr. David Gomillion) • ISTM 624: Advanced System Analysis & Design (Dr. Jordana George) • ISTM 630: MIS Project Management & Implementation (Dr. Dwyane Whitten) Courses undertaken as of Summer ‘25 include: • ISTM 615: Database Management Systems (Dr. Aaron Becker) • ISTM 620: System Analysis & Design (Dr. Michael Scialdone)
Veermata Jijabai Technological Institute (VJTI)
Electronics engineering
Salient Coursework:- - Data Science - Neural Networks & Fuzzy Systems - Natural Language Processing - Probability and Statistics - Numerical Techniques - Linear Algebra & Calculus - C++ and Python Programming - Computer Communication Networks - Embedded Systems - Internet of Things and Industry 4.0 - Digital Image and Signal Processing - Network Security - Principles of VLSI
Sarvesh Shirude's Contact Information
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