Hey, I'm Akshay - A Software Engineer II & ML Engineer from Princeton, NJ

I specialize in architecting large-scale ML systems and building distributed computing solutions. With experience at Northern Trust, Oracle, and John Deere, I've developed expertise in automated code migration, ML pipelines, and event-driven microservices. Whether it's reducing manual conversion time by 85% across 500K+ lines of legacy code or handling 100M+ daily trading data points, I'm passionate about leveraging cutting-edge technologies to drive efficiency and innovation.

Georgia Tech
MS Computer Science
University of Illinois at Urbana-Champaign
BS Computer Engineering
Python Java Kubernetes Azure TensorFlow Autogen SQL Databricks Spark Vertex AI LangChain GPT-4 Spring Boot Kafka RAG

Work Experience

Software Engineer II | Scrum Master

Northern Trust

May 2023 - Present

Chicago, IL

  • Architected large-scale ML system for automated code migration using distributed agents, reducing manual conversion time by 85% across 500K+ lines of legacy code
  • Designed and deployed production-grade ML pipelines handling 100M+ daily trading data points, achieving 30% latency reduction and 99.9% uptime
  • Led migration to modern DevOps practices by implementing Liquibase CI/CD pipeline ensuring SQL consistency across environments

Technical Product Management Intern

Oracle

May 2022 - August 2022

Seattle, WA

  • Designed dashboard used for Oracle CRM Billing embedded w/ invoice hyperlink using OCI Data Pipeline implementing dual-write data migration workflow
  • Developed automated data reporting to optimize product KPI tracking saving over 1800 minutes per week for PM's
  • Established CI/CD pipelines with Kubernetes to enable automated security scanning compliance checks

Data and Analytics Intern

John Deere

August 2021 - November 2021

Waterloo, IA

  • Deployed ML Python script within Alteryx utilizing ODBC connection for SAP Hana Data pipeline along with LSTM networks for predicting tractor drivetrain failure metrics
  • Ran Time Series Analysis given heat loss impact on engine power generation over time to optimize machine utility and crop harvest by over 50%
  • Converted end-to-end analytics tests into Terraform infrastructure-as-code, enhancing automation

Technology Intern

PricewaterhouseCoopers

June 2021 - July 2021

New York, NY

  • Analyzed and collected data using Pandas and SciKit-Learn Random Forest algorithms to build regression model that can predict details about client case outcomes
  • Provided clients with more accurate forecasting enabling their executive teams to make informed strategic decisions, reduce operational uncertainty, and allocate resources more effectively towards their business units

Software Engineering Intern

Gramaner

November 2020 - March 2021

Princeton, NJ

  • Performed data mining on Gramaner geolocation data to analyze asset-related dealer opportunities in the U.S.
  • Designed data model and infrastructure of Gramaner new crime data app; served as subject matter expert
  • Developed backend of application with AWS DynamoDB; used GraphQL, Node.js, and ApolloServer to build APIs

Software Engineering Intern

Instahub

May 2020 - August 2020

Philadelphia, PA

  • Led team of 10 interns on product efficiency improvement and lifecycle analysis of SoLAR device; analyzed material sustainability through data extraction of material wear over time and implemented end of life process strategy with manufacturer
  • Developed Python algorithm extracting SQL database of NY, NJ, PA statewide energy and resources utilization of 40,000 buildings for smart building operations
  • Cleaned data through performance metric, performed data modeling using Tableau to pull 30,000+ potential clientele

Key Technologies

Technical Expertise

  • Machine Learning: Implemented large-scale ML systems using Autogen, LangChain, GPT-4, and custom ML pipelines
  • Cloud & Infrastructure: Extensive experience with Databricks, Spark, Vertex AI, Kubernetes, and Azure
  • Backend Development: Built robust microservices with Spring Boot, Java, and event-driven architecture using Kafka
  • Database & DevOps: Optimized SQL performance across Oracle, PostgreSQL databases with modern CI/CD practices

Featured Projects

NaiveBayes/KNN/LR

Python

Implemented and tested KNN, Naïve Bayes, and LR on dataset of 60,000 training images and 10,000 test images for digit classification reporting error of less than 2%. Optimized PReLU MLP with 4 layers and 256 nodes per layer on MRI image reconstruction with ∝ being learned from training data using backpropagation to minimize loss function.

AI Text Generator

Python / HuggingFace / GPT2

Leveraged LLM using Huggingface utilizing techniques including attention mechanisms, self-attention, and transformer architecture to build an AI text generator. AI text generator can infer semantics and contextualize information based on input prompts.

Linux OS-ECE391

ASML / C++

Built Linux like operating system incorporating GDT, IDT, basic paging support for tasks, separate 4 MB pages for the kernel and applications. Included device initialization, system call interface along with ten system calls.

BlackScoles-MonteCarlo

Python (Pandas, SciPy, Seaborn)

Implemented Monte Carlo simulation to estimate the value of a European call option using Python. The simulation involved generating random stock price paths, calculating option payoffs, and averaging these payoffs to estimate the option's value.