Vetted SDLC Professionals

Thazim Banu Shaffee

Screened ReferencesStrong rec.

Engineering Manager specializing in payments, risk, and high-scale distributed systems

San Jose, CA14y exp

“Engineering leader/player-coach on a risk core transaction platform (payments/branded checkout) who led major migrations from a monolithic stack to microservices, including API contract redesign and performance improvements (reported ~500ms latency reduction). Experienced running high-stakes production incidents (upgrade-related outage/degradation) end-to-end with RCA and rollout-process changes, and has accelerated delivery via documentation/tooling (audit sign-off cycle reduced from ~3 sprints to ~1).”

“Frontend engineer from Amazon Advertising who owned a sophisticated React/TypeScript ad creative builder used by advertisers and ad ops teams. Stands out for combining deep browser-level debugging with product-minded UX improvements that reduced support escalations and made complex multi-placement ad configuration faster and more reliable for power users.”

“Product leader with experience spanning global health, startup growth, and AWS enterprise systems. Most notably led a telehealth AI initiative at Orbis that launched in 4 months, validated against historical patient cases at 99.9% match to human consults, and evolved from a support feature into a standalone consult product and app. Brings a strong human-centered AI perspective, using automation to extend expert capacity rather than replace professionals.”

“CMU engineer with hands-on experience building full-stack AI products across internships and academic projects, including a Microsoft real-time multimodal assistant and a Cursor-like coding agent. Stands out for combining low-latency systems engineering with strong product instincts, shipping AI tools that improved latency by 35%, cut grading time from five days to under 10 minutes, and reduced user resubmissions by 45%.”

“Fractional CTO and AI/ML consultant at Clover Health with deep insurance domain experience (15 years as CTO/CISO/AI). Has spent significant time in PE/VC-backed environments (including Aquiline Capital Partners and Apollo Group), designing and engineering platforms while delivering against budgets, audits, and regulatory compliance. Recently helped build an insurance startup (2020–2025) and is now seeking a full-time role at a startup.”

“Full-stack engineer with strong startup experience across small distributed teams, owning everything from React UIs to Go services and Python data pipelines. He stands out for designing stable APIs and data models in ambiguous compliance-heavy environments, with measurable impact including a 38% reduction in manual cleanup and a 27% drop in customer-visible incidents. He has also worked deeply in B2B SaaS at Ashby, supporting mission-critical recruiting workflows where data correctness, permissions, and integration stability were essential.”

Kaushik Mukherjee

Screened

Executive technology leader specializing in search, ads, and data/AI platforms

Bangalore, India

“Engineering/technology leader with payments (UPI) scale experience who built fraud and growth systems for tens of millions of daily transactions while keeping CAC and cost guardrails. Scaled an engineering org from 12 to 155 in a year using platform + pod structures, and institutionalized canary deployments with auto-rollback (cutting degradations ~75%) while leveraging GenAI for code and test automation.”

Kusumita Dasgupta

Screened

Director-level Engineering Leader specializing in data platforms, cloud systems, and LLM products

United States22y exp

“Engineering leader/player-coach with recent hands-on work delivering an agentic AI MVP on Amazon Bedrock (conversational UI + supervisor agent routing between internal knowledge and external sources). Previously drove large-scale data platform cost optimization at Twitter, saving ~$3M–$5M annually, and has owned production incidents end-to-end with a focus on analytics/monitoring improvements and team coaching.”

“Full-desk recruiter with experience at Meta supporting the AR Glasses org, including a difficult Staff-level ML Engineer search. Uses competitor mapping (e.g., Snap/Microsoft/Google/Apple) and multi-channel passive sourcing (LinkedIn Recruiter, SeekOut, GitHub, Quora, network) while running a metrics-driven cadence with hiring managers and strong candidate advocacy.”

“Engineering leader with a mix of large-scale platform experience at Microsoft and product/customer-facing work across GM, Panasonic, Acuity, and other environments. Stands out for combining people leadership with hands-on depth in accessibility, web performance at 120M+ MAU scale, and cross-functional delivery spanning enterprise permissions, e-commerce, AI, and automotive systems.”