Full-Stack AI Engineer with ML Focus

Ishank Sharma

Los Angeles, California Email: *********@*****.*** Cell: +1-562-***-****

https://www.linkedin.com/in/ishank47 https://github.com/ishank-dev https://ishank-dev.github.io/ SKILLS

Programming Languages: Python, Java, C, C++, JavaScript, SQL AI & Machine Learning Frameworks: TensorFlow, PyTorch, scikit-learn, Keras, OpenCV AI Engineering Tools & Libraries: Hugging Face, LangChain, Google Agent Development Kit, Deep Learning, NLP Cloud & DevOps: AWS (Lambda, EC2, S3, SageMaker), Docker, Kubernetes, Terraform, GitHub Actions, CI/CD Backend & Databases: SQL (MySQL, PostgreSQL), NoSQL (MongoDB, Redis), Snowflake, Databricks, Neo4J Tools & Frameworks: Git, Jenkins, JIRA, Kafka, Airflow, REST APIs EDUCATION

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CALIFORNIA STATE UNIVERSITY - LONG BEACH Aug 2024 - Dec 2025 MS in Computer Science GPA 3.83/4.0

Coursework: Advanced Software Engineering, Advanced AI, Search Engine Technology, Computer Simulation and Modelling Responsibilities: Instructional Student Assistant: College of Business Honor Society: Tau Beta Pi

RAMAIAH INSTITUTE OF TECHNOLOGY Aug 2017 - May 2021 B.E Information Science & Engineering GPA 3.75/10.0 PROFESSIONAL WORK EXPERIENCE

Full-Stack Engineer Intern: GrowthAlpha.ai

● Partnered with internal stakeholders to design and launch a multi-tenant SaaS platform from 0 1, including a custom JSON-to-SQL query generator that enabled real-time audience targeting and improved analytics responsiveness.

● Prototyped and benchmarked Text-to-SQL systems for clickhouse compatible SQL queries using LLaMA, OpenAI and Gemini APIs.

Open Source Full Stack Engineer: Firebolt.io Nov 2024 - Apr 2025

● Designed and owned a geospatial analytics dashboard integrating real-time accident datasets via REST APIs, enabling interactive mapping + deep data exploration.(Github)

● Optimized Firebolt DB query execution by introducing connection pooling, cutting query latency boosting QPS by 85%.

● Actively engaged with the open-source community and contributed performance enhancements adopted into production. Software Development Engineer II CommerceIQ.ai Aug 2021 – Jul 2024 E commerce intelligence platform optimizing retail media spend

● Collaborated with stakeholders in the US with the engineering team to design, build, and launch an AI-powered deck generator feature, driving the project from concept to production.

● Built AWS-based media budget recommendation pipeline (Lambda, SQS, SQL), saving $600K/year and reducing manual processing from 1 day to 3 mins.

● Solved cold-start problem in recommendation system strategy generating synthetic data to provide 90% accurate ad budget suggestions without historical advertising data.

● Migrated budget prediction workloads from Snowflake to Databricks, reducing infra costs by 52% and latency by 80% via indexing and broadcast joins.

● Developed backend for real-time ad platform processing 50,000+ hourly events shown to customers in near real time and helping drive advertising strategy during peak sales hours.

● Built a state-machine–driven campaign orchestrator to fetch and create real-time campaign data via Amazon/Walmart APIs; coupled with a real-time KPI system (UI API SQS DB) that enabled instant campaign actions and ensured data consistency across platforms.

● Mentored 3 interns and 2 SDE-I on backend systems, pipelines, SQL optimization and best REST API practices. Open Source Backend Engineer: Internet Archive (Archive.org) May 2020 – Dec 2020

● Archive.org - Added support for zooming in/out with keyboard on safari browser, and increased test coverage.

● OpenLibrary.org - Added metadata to open library's index page for better search engine optimization.

● Bookgenomeproject.org - Added an XML parser to books present at Internet Archive that identifies page types. Also introduced more stop words for better text cleanup.

● BookReader - Built a demo feature for selecting text from images using mouse cursor. PROJECTS

Ella (Effort Learning and Look up Assistant):(Github) Built a self-learning AI agent using retrieval-augmented generation and Google Agent Development Kit that converts slack chats into a living FAQ, streamlining engineering onboarding and reducing repeat questions by 70% within Slack. Mock Server: Provides front-end developers a zero-code backend for prototyping with CRUD, persistence, and advanced filters

(search, sort, multi-entity).(Github)

ACHIEVEMENTS

Winners SIH (Team Avocado): National Hackathon with over 200,000+ Participants: Built a Beats Allocation and Navigation System for Indian Police, won the grand prize.(Github)

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