Priyanka Siwach

Engineering features on Brain, AIN Ventures’ internal AI platform — sourcing agents, adversarial evaluation, and deal-pipeline automation in Python.

• Built a Python-based sourcing agent in Brain, AIN Ventures’ internal AI platform, to re-surface promising founders below the 90-point auto-reject threshold, adding 5+ founders per day to the outreach pipeline.
• Built a 200+ case adversarial test suite in Python to stress-test AI guardrails, identify failure cases, and validate fixes across edge-case and malicious inputs.
• Shipped deal-retrieval and AI-generated investment-memo features from specification through release, using Python to automate data processing and retrieval across AIN’s deal pipeline.

Founded and shipped two products end to end — AI features, serverless AWS backends, rate limiting, CI, payments, and App Store / web launch.

• Built Applyfy, an AI job platform integrating OpenAI GPT-4o across 12 features, protected by Redis-backed rate limiting (5 req/min/user), reaching 36 signups.
• Engineered a serverless AWS resume-parsing pipeline (API Gateway, Lambda, S3, DynamoDB, WAF, CDK); diagnosed WAF vs. Lambda concurrency throttling under 50-request load, sustaining 45 req/sec at 1.9s latency.
• Shipped ChefCoach to the App Store with a GPT-4o vision pipeline, local API-outage fallback, token-bucket rate limiting, LRU caching, JWT auth, and GitHub Actions + Vitest CI.

Worked on MoMA’s physical access-control and identity systems — validating employee records at scale and improving cybersecurity portal workflows with SQL-backed data operations.

• Updated and validated identity, photo, and badge-access records for 500+ MoMA employees, strengthening the accuracy and integrity of the museum’s physical access-control system.
• Used SQL queries and Excel to manage employee ID datasets and keep access-control records consistent across internal systems.
• Partnered with directors to improve MoMA’s internal cybersecurity web portal and harden identity and access workflows.

Represented high-achieving students at executive and professional networking events.

• Represented high-achieving students at executive networking events.
• Strengthened leadership, professional communication, and relationship-building skills.

Helped students navigate essential academic platforms and college resources.

• Facilitated studio hours for more than 80 students.
• Guided students through CUNYfirst, Microsoft 365, and Degree Works.