Shreshth
Srivastava
Automation Engineer specialized in designing end-to-end solutions that integrate LLMs, real-time speech pipelines, and cloud APIs to automate lead qualification, customer engagement, and data workflows.
Leads Convert to First Responder
Intake Time Cut (CARA)
More Qualified Leads (Sellixis)
AI Agent Uptime
Production AI &
Systems Engineering
From product engineering to AI automation — building reliable systems that ship to production and scale. B.Tech in Computer Science from United University (2024).
Product Engineer Intern — Concept2Action (C2A) (Remote, USA — 2026)
Building and shipping production-level products from concept to deployment, contributing directly to live systems. Collaborating with product, design, and engineering teams to implement features, improve system reliability, and maintain clean, scalable codebases across the full development lifecycle.
AI Automation Intern — Pitch X (Remote — 2025)
Cut manual handoffs by 80% by building Vernika, a production voice-calling SaaS with Twilio + LLM-driven IVR. Engineered low-latency streaming speech pipelines (Whisper/Groq) with API orchestration, monitoring, and confidence scoring.
Packed with
Innovation.
Production-grade AI systems, clinical triage pipelines, voice automation, and full-stack products — built for real users, shipped to production, and scaling in the wild.
AI-Powered Projects
for the Future
Sellixis
AI Sales Operating System
AI-powered sales OS that talks, qualifies, and follows up with every lead — 24/7, across every channel. Zero missed leads, zero cold follow-ups.
CARA
AI Clinical Intake & Triage System
Clinical intake pipeline using an ADK-style agent architecture to turn patient voice and documents into structured symptoms, triage decisions, and care-plan actions.
PaySense AI
Voice-First Cash Flow Intelligence for Merchants
Voice-first cash flow intelligence platform for India’s 4Cr+ Paytm merchants — AI that predicts, alerts, and scores to solve the ₹20-25L Cr MSME credit gap.
Seamless
Integrations.
Seamlessly connecting AI agents with CRMs, calendars, and messaging platforms to ensure workflows run efficiently end-to-end.
