Aditya Pal

Software Engineer

Austin, Texas, United States5 yrs 2 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in Machine Learning and Software Development.
  • Led ML initiatives at Goldman Sachs with high user satisfaction.
  • Published research in NLP and smart contract vulnerabilities.
Stackforce AI infers this person is a Fintech and SaaS expert with strong Machine Learning and Software Development capabilities.

Contact

Skills

Core Skills

Machine LearningSoftware ArchitectureTeachingResearchBack-end Web Development

Other Skills

AlgorithmsAmazon Web Services (AWS)Apache KafkaApache SparkArtificial Intelligence (AI)BashBig DataBlockchainCC++Data StructuresDatabasesDjangoFinancial AnalysisHacking

About

➢ Grad student at Georgia Tech pursuing MSCS specializing in Machine Learning ➢ 4+ years of Software Development and Platform Engineering experience at Goldman Sachs ➢ Passionate Researcher with strong interest in ML, DL, NLP and Document AI (with publications) ➢ Proficient in Python, PyTorch, TensorFlow, Jupyter, MLOps with Sagemaker, Vertex AI ➢ Professional experience in building ML Systems : ➢ LLMs, RAG, Prompt + PEFT/LoRa fine-tuning, Vector DBs for internal domain chatbots ➢ XGBoost model for Anomaly Detection / Fraud Detection of Web Traffic to APIs Prior Experience: As an Associate in the Transaction Banking Platform Solutions team at Goldman Sachs, I designed and developed scalable platform components enabling seamless and secure transactions for our clients. I leveraged my skills in AWS, Kafka, Terraform and Java to create robust and efficient solutions that meets the high standards and expectations of the growing business. I also lead Machine Learning efforts in the team for use cases like Fraud Detection, Anomaly Detection and creating internal domain chatbots using LLMs, RAGs, vector DBs etc. I am a passionate learner and an avid MOOC enthusiast, who is always eager to explore new technologies and domains in the field of computer science. I have completed several online courses and certifications on topics such as AI, ML, cloud computing, big data and have publications in the field of NLP. My goal is to constantly improve my knowledge and skills, and to apply them to solve real-world problems and challenges.

Experience

Amazon

SDE 2

May 2025Present · 10 mos · Austin, Texas, United States · On-site

  • VoC Tech (CS Data & AI)

Moderna

SDE Machine Learning

Jun 2024Dec 2024 · 6 mos · Seattle, Washington, United States · Hybrid

  • AI Engineering (previously ML Platform)
  • Architected and implemented a large-scale, event-driven, pub-sub based orchestration engine for ML Compute Platform, scaling to over 10k+ real-time daily notifications and serving as the backbone for automated ML pipeline workflows with Email, S3 and Scheduled events capabilities.
  • Collaborated with cross-functional Data Science and AI teams to integrate OpenAI ChatGPT into ML stack and interactive Q&A for enhanced ML developer productivity.
TypeScriptAmazon Web Services (AWS)Python (Programming Language)Machine LearningSystems DesignSoftware Architecture

Georgia institute of technology

2 roles

Graduate Teaching Assistant

Jan 2024May 2024 · 4 mos · Atlanta, Georgia, United States · On-site

  • Graduate Teaching Assistant for CS7641 Machine Learning (class of 1100 students with Professor LaGrow):
  • 1. Teaching ML concepts and guiding students on their homework/projects.
  • 2. Creating and grading class homework, exams and quizzes to enhance students' ML knowledge.
Machine LearningTeaching

Graduate Student Researcher

Jan 2024May 2024 · 4 mos · Atlanta, Georgia, United States · On-site

  • Building Adversarial LLMs for Smart Contract Vulnerability Detection as part of Data Systems Research Group advised by Ling Liu
Large Language Models (LLM)Smart ContractsBlockchainMachine LearningResearch

Goldman sachs

5 roles

Senior Software Engineer (Associate)

Promoted

Jan 2022Aug 2023 · 1 yr 7 mos · On-site

  • Transaction Banking | Platform Solutions
  • Drove TxB Cloud & ML initiatives as a senior software developer, acting as the global owner for Kafka, Confluent Schema Registry, and Email infrastructure—supporting 100+ daily users across the business unit.
  • Developed a Retrieval-Augmented Generation (RAG) chatbot leveraging LangChain (for indexing/embeddings), Vector Database (semantic search), and Streamlit (UI) against TxB Confluence docs. Performed prompt tuning and a PEFT (LoRa) proof-of-concept, culminating in RLHF with 95% user satisfaction in documentation Q&A.
  • Trained an XGBoost anomaly detection model with 84% accuracy on Kong API Gateway telemetry (CNAME & IP data) to identify suspicious activity in near real time.
  • Facilitated the setup of TxB’s ML training & inference stack—adopting CI/CD-driven MLOps with AWS Sagemaker—enabling 10+ production ML and Analytics workloads.
  • Engineered a Java Spring Boot Email Service integrated with AWS SES for bounce-back and click-stream notifications, delivering 500+ daily emails to global clients and reducing costs by 20% through SES Cross Domain optimizations.
  • Devised Cross-Region Replication for Kafka Clusters via VPC Peering and MirrorMaker2, enabling controlled failover with minimal downtime; beta-tested AWS MSK replication capabilities in Q3 2023.
  • Acted as TxB’s primary Kafka SME, conducting resiliency testing, resolving rebalancing issues impacting $1K+ real-time payments, and creating best practices (throughput, latency, batching). Participated in multi-VPC beta testing for AWS MSK.
  • Configured Blue/Green deployments on the Web Gateway using path-/host-based ALBs, achieving zero-downtime and seamless rollbacks.
  • Implemented auto-scaling for the Kong API Gateway, boosting throughput by 30%, and collaborated with AWS on Network Firewall feature enhancements.
Back-End Web DevelopmentPython (Programming Language)Apache KafkaAmazon Web Services (AWS)TerraformJava+3

Software Engineer (Analyst)

Apr 2021Dec 2021 · 8 mos · On-site

  • Transaction Banking | Platform Solutions

Software Engineer (Analyst)

Jun 2019Mar 2021 · 1 yr 9 mos · On-site

  • Middleware Engineering | Engineering Division
  • Engineered an enterprise-grade inventory management platform using Java (Spring Boot) and React, specifically for MemSQL (SingleStore) clusters and node lifecycle management—serving 50+ firm-wide users and 20+ DBAs.
  • Implemented a comprehensive observability and reporting dashboard with Grafana + Prometheus for metrics monitoring and Jaeger for distributed tracing, cutting direct production host access by 30% and streamlining SRE workflows.

Intern | Middleware Engineering (Engineering Division)

Jan 2019Apr 2019 · 3 mos · Bengaluru, Karnataka, India · On-site

  • Engineered a high-throughput, multithreaded Java service for real-time SQL aggregation, leveraging Kafka for ingestion and Spark Streaming for parallel computation—processing over 5 TB of data per month.
Back-End Web DevelopmentPython (Programming Language)Apache SparkJavaHadoopHive+5

Summer Analyst

May 2018Jul 2018 · 2 mos · Bengaluru, Karnataka, India · On-site

  • Middleware Engineering

Tata technologies

2 roles

Summer Intern

May 2017Jul 2017 · 2 mos · Jamshedpur, Jharkhand, India · On-site

Summer Intern

May 2016Jun 2016 · 1 mo · Jamshedpur, Jharkhand, India · On-site

Education

Georgia Institute of Technology

Master of Science - MS — Computer Science

Aug 2023May 2025

Birla Institute of Technology, Mesra

Bachelor of Engineering (B.E.) — Computer Science and Engineering

Jan 2015Jan 2019

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