Sakshi Wadaskar
Agentic AI Engineer at Saayam For All
About
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
Looking for
- ›Forward Deployed Engineer roles
- ›Software Engineer (SWE I) roles
- ›AI/ML Engineer roles
Best fit for
Current Interests
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.