Akshata Kulkarni
@akshatakulkarni
AI Engineer with 5+ years building production AI pipelines, distributed microservices, and cloud-native systems.
United StatesWhat I'm looking for
I’m an AI Engineer with 5+ years of experience designing and shipping distributed backend systems, data pipelines, and production microservices on AWS and Azure. I’ve owned complex technical problems end-to-end—from architecture through deployment—in event-driven, high-throughput, cloud-native environments, using AI/ML as a force multiplier for system quality and automation.
At PRGX, I architected an extraction platform that routes between model tiers to optimize inference costs, built evaluation frameworks (Precision/Recall/F1/Cohen’s Kappa and LLM-as-Judge), and shipped production REST APIs and Streamlit human-in-the-loop review for low-confidence clauses. Before that at Persistent Systems, I built detection rules for AWS CodeGuru (now Amazon Q Developer), implemented TypeScript parsing for AST-based analysis, and improved detection efficiency by 90% while raising accuracy from 70% to 85% through an ETL feedback and Bedrock retraining loop—earning Top Talent FY2023 and multiple Bravo awards.
Experience
Work history, roles, and key accomplishments
Architected an LLM clause extraction system that optimizes inference cost by routing tasks across GPT-4o and smaller models, improving token consumption and latency at scale. Built FastAPI production services and a Kafka ingestion pipeline to process high-throughput contract documents and return precise clause positions for downstream contract intelligence.
Owned end-to-end development and release of static analysis detection rules on AWS CodeGuru/Amazon Q Developer, including a TypeScript-to-AST parser that enabled rule traversal for modern JS/ES6+. Built automated rule generation with Bedrock and an ETL feedback loop that increased detection efficiency by 90% and improved accuracy from 70% to 85%.
Education
Degrees, certifications, and relevant coursework
Arizona State University
Master of Science, Computer Software Engineering
2024 - 2025
Grade: GPA: 4/4
Pursuing/earned an MS in Computer Software Engineering from Arizona State University (Jan 2024–Dec 2025). GPA reported as 4/4.
Savitribai Phule Pune University
Bachelor of Engineering, Computer
Earned a Bachelor of Engineering in Computer from Savitribai Phule Pune University (completed May 2020).
Government Polytechnic Pune
Diploma in Computer Engineering, Computer Engineering
Earned a Diploma in Computer Engineering from Government Polytechnic Pune (completed May 2017).
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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