Vanditha T
@vandithat
Software engineer specializing in ML-driven financial systems and automation.
IndiaWhat I'm looking for
I am a software engineer with a strong foundation in machine learning, quantitative analysis, and backend engineering, cultivated at a premier Indian technical institute and applied in financial services.
At Wells Fargo I optimized inter-financial transfer processes for millions of customers, increased inbound transfer capacity, reduced ACH failures, and built an AI-driven recommendation system using LLMs, collaborative filtering, sentiment analysis, and graph-based ranking.
I have hands-on experience building BDD test automation frameworks with Cucumber, developing Python models for quantitative research, and applying signal-processing and ML techniques for fault detection in robotic IMU sensors.
I combine rigorous quantitative methods, production-grade engineering, and cross-functional leadership to deliver measurable impact in product reliability, automation, and personalized customer experiences.
Experience
Work history, roles, and key accomplishments
WFOptimized inter-bank transfer processes for Consumer Payments supporting 35 million customers, increased inbound transfer limits to boost capital inflow by 15%, and introduced holding-period logic to reduce ACH failures by 10%. Built an AI-driven recommendation system using LLMs and graph-based ranking and implemented BDD test automation that increased coverage by 70%.
JMSelected for a national Quantitative Research mentorship; developed Python models to compute MACD and Money Flow Index, applied PCA capturing up to 99% variance, and achieved R²=0.82 for stock direction prediction using multiple linear regression.
Education
Degrees, certifications, and relevant coursework
IMIndian Institute of Technology Madras
Bachelor of Technology, Mechanical Engineering
2019 - 2023
Grade: CGPA 8.49
Activities and societies: Placement Coordinator (ME Placement team); Workshop Coordinator, Shaastra
Completed a Bachelor of Technology in Mechanical Engineering with a CGPA of 8.49, focusing on engineering fundamentals and applied coursework.
Availability
Location
IndiaAuthorized to work in
Job categories
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