Aseem Sangalay

Software Engineer

Hyderabad, Telangana, India2 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Architected AI-powered platforms processing 10M+ records daily.
Led AI/ML innovations for fraud detection in finance.
Published research on AI-driven secure coding practices.

Stackforce AI infers this person is a Fintech-focused Full-Stack Engineer with expertise in AI and distributed systems.

Contact

Skills

Core Skills

Distributed SystemsAi-driven IntelligenceFull-stack Systems

Other Skills

EngineeringIdentifying TrendsTypeScriptReact.jsSoftware DesignApplication Programming Interfaces (API)Software InfrastructureJavaSQLPython (Programming Language)Apache KafkaETL.NET C#MSSQLMachine Learning

About

I build systems that leadership uses to make decisions. At Wells Fargo, I architect and ship distributed AI-powered platforms that process 10M+ records/day, enabling data-backed report rationalization, workflow automation, and executive-level visibility across enterprise ecosystems. I operate at the intersection of: • Distributed data pipelines (Kafka, Python, SQL) • AI-driven intelligence layers (LLMs, RAG, semantic similarity) • High-performance full-stack systems (React, RBAC, scalable APIs) I prefer 0→1 environments: ambiguity, ownership, and end-to-end execution. From backend architecture to frontend delivery to CI/CD, I build systems that reduce manual effort, increase throughput, and scale reliably. Previously: • MITACS Globalink Research Intern (Montreal, Canada) • Published at IEEE/ACM FORGE on secure LLM-based code generation Currently sharpening distributed system design and scalable AI architectures. If you're building high-leverage systems and value engineers who think in outcomes, let’s connect.

Experience

2 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 9 mos

Current Experience

Wells fargo

2 roles

Software Engineer

Promoted

Aug 2024 – Present · 1 yr 8 mos · Hyderabad, Telangana, India · On-site

Building High-Performance ETL Pipelines:
Optimized a Python-based ETL engine with Apache Kafka, increasing throughput by 45% and enabling real-time processing of 10M+ records daily. Improved data efficiency and scalability in critical financial operations.
Developing Scalable Systems & Dashboards:
Designed and implemented a job tracking dashboard using React, .NET C#, and MSSQL, enhancing system reliability, reducing API response times by 20%, and improving user efficiency by 30%.
Driving AI/ML Innovation in Banking & Finance:
Led AI/ML proof-of-concepts for fraud detection and process automation, leveraging advanced machine learning models to enhance security and operational efficiency.
Enhancing System Reliability & Optimization:
Engineered scalable backend architectures, focusing on high-availability distributed systems, performance tuning, and secure software development.

EngineeringIdentifying TrendsTypeScriptReact.jsSoftware DesignApplication Programming Interfaces (API)+6

Program Associate

Jul 2023 – Aug 2024 · 1 yr 1 mo · Hyderabad, Telangana, India · On-site

Python (Programming Language)System DevelopmentProblem SolvingCode Review

Scaler

Teaching Assistant

Jun 2022 – Jun 2023 · 1 yr

Machine LearningPython (Programming Language)Data StructuresSystem DevelopmentSQL

Concordia university

Mitacs Globalink Research Intern

Jun 2022 – Sep 2022 · 3 mos · Montreal, Quebec, Canada · On-site

Prestigious Global Research Program:
Selected for the highly competitive MITACS Globalink Research Internship, a fully funded program offering exposure to cutting-edge AI/ML projects and potential CAD 15,000 scholarship for further research in Canada.
Advancing AI for Secure Code Generation:
Fine-tuned Large Language Models (LLMs) like GPT-J to enhance secure code generation, achieving a 10% increase in non-vulnerable code output for C and C++.
Cutting-Edge AI Research & Publications:
Published research in FORGE '24 (IEEE/ACM) on AI-driven software engineering, contributing to advancements in AI-assisted coding and cybersecurity.
Hands-on Experience in AI & NLP:
Worked with transformer models, deep learning architectures, and NLP techniques, focusing on improving software security and automated vulnerability detection.

Machine LearningDeep LearningSystem DevelopmentSoftware Engineering PracticesAI-driven Intelligence

Flipitmoney

Data Science Intern

Sep 2021 – Jan 2022 · 4 mos

System Development

India today

Data Analyst

Jul 2021 – Sep 2021 · 2 mos

System Development

Delhi technological university (formerly dce)

Undergraduate Research Assistant

Jun 2021 – Aug 2021 · 2 mos

System Development

Stem-away

Machine Learning Project Management Lead

Jul 2020 – Sep 2020 · 2 mos

► Implemented a recommendation system to suggest posts based on user input using NLP and resulting in 93% accuracy.
► Reviewed codes, project roadmaps and changing requirements during the course of each development.
► Scraped and cleansed 70,000+ data points from STEM-centric forums with Selenium for analysis.
► Reviewed codes, project roadmaps and restructured design workflow to improve project delivery by 20%.
► Project management using Asana.

System Development