Ankkita Agrawal
Delivery Engineering Manager | Backend & System Design Specialist | 15+ Yrs in Java, Spring Boot, AWS | Scaled AI & Fintech Products | Ex-CTO | Open to Leadership Roles
- Role
- Delivery Engineering Manager at Turing
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Ankkita Agrawal
I’m a seasoned software engineer and technical leader with 15+ years of experience building and scaling high-performance B2C platforms in fintech, AI, and communication domains.Former CTO, now focused on delivering value through robust backend architecture (Java, Spring Boot, AWS), clean code, and pragmatic product thinking.🧠 I love solving real-world problems — from processing millions of API calls at scale to integrating OpenAI into next-gen automation tools. I’ve led cross-functional teams, built mission-critical products from scratch, and thrive in roles that combine deep tech with ownership. Currently open to Staff Engineer, Engineering Manager, or Product-Technical Hybrid roles in product-led organizations.Let’s connect if you’re building something meaningful.
Experience
Delivery Engineering Manager
Jun 2025 — Present
Leading delivery operations for engineering teams training and fine-tuning LLMs for code generation and problem-solving.WebGame-eval Project: Partnered with clients to design and deliver structured web-app games for evaluating AI agents; led a 30-member team, defined architecture, and ensured rapid delivery cycles with high-quality standards.Terminal Bench Project: Designed and implemented a scalable FastAPI-based server–client framework to validate execution of AI tasks; streamlined reviews and optimized delivery quality.Driving engineering excellence and team performance through regular reviews, improvement strategies, and mentoring.Recent Initiative – Gemini CLI Evaluation (2025 – Ongoing)Spearheading a project where the team creates “unsolvable tasks” for AI Agent to rigorously test the boundaries of agent reasoning.Designed a methodology to generate complex, adversarial, and edge-case tasks that challenge LLM-based agents beyond solvable scenarios.Ensuring outputs are used for stress-testing AI models, improving robustness, and guiding fine-tuning strategies for next-gen LLM evaluation.Bridging engineering strategy and AI research needs by aligning task creation with measurable benchmarks for model performance.
Education
Agrawal Public School Indore
12th, PCM
2002 — 2004
Shri Vaishnav Institute of Technology and Science
Bachelor of Engineering (BEng), Information Technology
2004 — 2008
Skills
- Json
- Css
- Jquery
- Front-End
- Web Applications
- Mysql
- Php
- Servlets
- Jsp
- Mongodb
- Html5
- Software Development
- Html
- Ajax
- C#
- Xml
- Agile Methodologies
- Javascript
- Html 5
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