Saksham Garg
Software Engineer Intern @ Oracle
About
I'm a CS grad student at UW–Madison (4.0 GPA) specializing in distributed systems and applied AI, with 2+ years of industry experience building production-grade software systems at Oracle.Most comfortable with Python, C/C++ and JavaScript although I lurk around in Java too. Always up for learning new frameworks and languages.Technical Skills:Programming Languages: Python, C++, C, Java, JavaScript, SQL────────────────────────────────────Web Technologies: REST, gRPC, JWT, Node.js, FastAPI, Kafka, React, Next.js, PostgreSQL, MongoDB ────────────────────────────────────ML & Big Data: Scikit-learn, PyTorch, Numpy, Pandas, HuggingFace, Opacus, Hadoop, PySpark, Cassandra, BigQuery──────────────────────────────────── DevOps & Tools: Git, Docker, Kubernetes, AWS, GCP, Linux, Jenkins (CI/CD), GitHub Actions, Cursor, Claude Code────────────────────────────────────
United States
San Francisco
Computer Software
TypeScript, AI Agents, Model Context Protocol (MCP), Amazon Web Services (AWS), Software Infrastructure, Inter-process Communication, Multithreading, Systems Programming, Network Programming, Redis, Internet Protocol Suite (TCP/IP), Computer Architecture, Oracle VM, MLOps, WiX Toolset, Decision Modeling, Role-Based Access Control (RBAC), JScript, Data Collection, HiveQL
Experience

Software Engineer Intern
BindMarket.AI
Houston, TX
Taking end-to-end ownership of infrastructure and AI agent development at an early-stage startup (<10 members), working across Python, TypeScript, and Amazon Bedrock AgentCore to build a conversational commercial insurance broker. Architecting automated insurance submission and quoting pipelines by evaluating 6+ data providers and designing custom MCP server wrappers to securely expose 3 legal/local verification APIs to the LLM, alongside deploying DynamoDB-backed state infrastructure

Software Engineer
Hyderabad
Spent 2 years as a full-stack developer on Oracle's Fusion Cloud ERP suite, working across Java, JavaScript, and SQL to ship features used by enterprise customers running production supply chains. Led parts of the UI/UX migration, rebuilding legacy pages via Oracle JET and Knockout.js components, built and optimized REST APIs, optimized SQL queries for latency-sensitive flows, and integrated AI Agent Studio into the suite to bring generative AI capabilities into manufacturing workflows.

Software Engineering Intern
India
Built an internal Python command-line tool (Cookiecutter-based) for scaffolding Flask, Django, and FastAPI services through a guided prompt flow, with pluggable support for PostgreSQL, MongoDB, Kafka, and Docker, automating virtual environment setup and dependency installation. Received Pre Placement Offer(PPO)
Education

Computer Science
Fall 2025 - CS 537 Operating Systems — C, concurrency, xv6 kernel - CS 544 Big Data Systems — Spark, HDFS, Kafka, gRPC Spring 2026 - CS 760 Machine Learning — PyTorch, scikit-learn, CNNs, RNNs, RL - CS 639 Foundation Models (LLMs) — Transformers, HuggingFace, LoRA, fine-tuning - CS 774 Data Cleaning & Integration — Entity Matching, Data Warehouses, ETL/ELT Fall 2026 (planned) - CS 764 Advanced Database Management Systems - CS 759 High Performance Computing
Saksham Garg's Contact Information
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