Sakshi Wadaskar
Agentic AI Engineer at Saayam For All
Building autonomous routing workflows and LLM telemetry as an Agentic AI Engineer.
Intro
I'm Sakshi Wadaskar, currently an Agentic AI Engineer at Saayam For All. My career has been defined by building high-stakes, production-grade systems, from optimizing real-time trading pipelines at Annaly Capital to scaling microservices at Thoughtworks. I specialize in bridging the gap between modern AI—like RAG pipelines and autonomous workflows—and complex legacy infrastructure. I’m passionate about pragmatic engineering and end-to-end ownership, believing that the best solutions are forged under the pressure of real-world constraints. Beyond engineering, I value mentorship and staying active in the professional community through referrals and knowledge sharing. I’m currently looking to transition into Forward Deployed or AI/ML Engineering roles where I can apply my blend of enterprise backend experience and cutting-edge AI implementation to solve high-impact problems.
Networking
What I can offer
- ›Enterprise-grade backend experience in FinTech and SaaS
- ›Cutting-edge AI implementation skills
- ›Job opportunities and referrals for former Thoughtworks colleagues
What I'm looking for
- ›Forward Deployed Engineer roles
- ›Software Engineer (SWE I) roles
- ›AI/ML Engineer roles
Best fit for
Focus
Current interests
Core competencies
Background
Career
Progressed from Graduate Software Engineer roles at Viprush and Thoughtworks to Software Engineer at Thoughtworks, followed by a Co-op at Annaly Capital Management and her current role in Agentic AI.
Education
Master of Science in Computer Software Engineering from Northeastern University (2023 – 2025); Bachelor of Technology in Electrical Engineering from Vishwakarma Institute Of Technology (2017 – 2020); Diploma in Electronics and Telecommunication from Shri Datta Meghe Polytechnic (2014 – 2017).
Achievements
- ›Reduced API response latency by 3x for 100K+ daily calls at Thoughtworks
- ›Engineered Kafka pipelines processing 3TB+ of real-time trading data
- ›Developed LLM evaluation framework with 630+ tokens/second throughput
- ›Reduced testing time by 80% through automated QA workflows
- ›Improved system stability by 40% through traffic burst simulation
Opinions
- Real engineering happens when systems work under production pressure within legacy constraints.
- Advocates for end-to-end ownership in ambiguous environments—ship solutions before a problem is fully defined.
- Strong proponent of Test-Driven Development (TDD) and cross-functional bug bashes.
Personality
Communication style
Professional, achievement-oriented, and structured, balancing technical depth with business impact.
Formality — 8/10
Vocabulary