# Work Experience

## AI Engineer Intern — Lenskart

Gurugram, India (On-site) · July 2026 – Present (current)

- *Building the candidate-discovery layer of Lenskart's internal AI recruiting platform* on the AI Engineering team (Gurugram HQ, on-site).
- *Built a multi-provider LLM sourcing pipeline* that grounds every candidate result in live web search and falls back across providers for reliability.
- *Designed a resumable, Postgres-backed search pipeline* that merges candidates from multiple sources, deduplicates them by identity, and ranks them with a deterministic, explainable comparator rather than one opaque LLM score.
- *Built a per-job LLM cost ledger* that prices token usage per provider and model and enforces spend caps across the pipeline.

**Technologies:** Next.js, TypeScript, PostgreSQL, Vercel AI SDK

[Website](https://www.lenskart.com/) · [LinkedIn](https://www.linkedin.com/company/lenskart)

## Software Engineering Intern — C3alabs

United States (Remote) · October 2025 – Present (current)

- *Built and deployed production-grade AI systems* at C3ALabs, focusing on reliability, latency, and real-user usage not demos.
- *Developed agentic AI features* (artifacts, agent skills, multi-agent orchestration) and shipped them to production, ensuring performance under real-world constraints.
- *Designed and productionized advanced RAG pipelines* using Google File Search APIs, handling document chunking, retrieval quality, and response grounding in production environments.
- *Core contributor to applied AI R&D* experimented with Claude skills, MCP-based tool routing (Composio), and multi-agent coordination patterns, turning research ideas into deployable systems.

**Technologies:** Langchain, LangGraph, Next.js, Fastapi

[Website](https://www.c3alabs.com/) · [LinkedIn](https://www.linkedin.com/company/c3alabs)

## Full Stack Developer Intern — ArmorIQ

Remote · June 2026 – Present (current)

- *Building across the ArmorIQ platform* as a full-stack engineer, spanning backend APIs, the React console, AI-agent features, performance, and security.
- *Built the observability system end to end*: instrumented the SDK's core operations as nested trace spans, then built the ingest API, Postgres store, and query endpoints that persist and serve those traces.
- *Hardened an LLM-powered policy-authoring feature* with guardrails that reject fabricated tool references and sanitize untrusted input before it reaches the model.
- *Shipped security and performance work on the backend*, including tenant-isolation fixes on the policy engine and a redesign of API rate limiting into isolated per-route buckets.
- *Built a documentation MCP server from scratch in Python (FastMCP)* with API-key auth, per-IP rate limiting, and a CI-gated search-quality eval, deployed on Google Cloud Run.

**Technologies:** TypeScript, Node.js, React, PostgreSQL, Prisma, Python, MCP

[Website](https://armoriq.ai/)

## ML Researcher — RAAPID INC

Louisville, US (Remote) · April 2025 – July 2026

- *Co-authored a research paper on parameter-efficient LLM fine-tuning* - [arXiv:2601.00231](https://arxiv.org/abs/2601.00231)
- *Co-developed GRIT*, a geometry-aware PEFT method using K-FAC preconditioning, Fisher-guided reprojection, and dynamic rank adaptation, that fine-tunes *under 1% of a model's parameters* while *outperforming full fine-tuning and LoRA* on standard benchmarks.
- *Ran ablation studies* comparing GRIT against LoRA, QLoRA, and AdaLoRA across multiple LLMs and standard NLP benchmarks.

**Technologies:** Pytorch

[Website](https://www.raapidinc.com/) · [LinkedIn](https://www.linkedin.com/company/raapid) · [Paper](https://arxiv.org/abs/2601.00231)

## AI Agent Developer Intern — Kartavya Technology

Bengaluru, India (Remote) · June 2025 – August 2025

- *Autonomous Market Research Agent*: Developed an agent that automates market and competitor research using real-time data collection, web search, and report generation for business insights.
- *AI Voice Interviewer*: Built and deployed a voice-based AI interviewer to conduct inbound calls, capture candidate responses, and generate structured interview summaries.
- *Personalized Front Desk Agent*: Created a multimodal front desk AI agent capable of handling text, voice, and video inquiries for customer support and client onboarding processes.
- *Whatsapp and Social Media Automation Agent*: Engineered agents that automate group administration, content posting, and engagement analysis on WhatsApp and other social platforms.
- *Credit Risk Analysis Agent*: Designed a credit risk agent using custom ML models to evaluate applicant default risk and streamline lending decisions with automated scoring and documentation.
- *Outbound Calling Platform Agent*: Deployed outbound calling agents capable of scheduling, executing, and logging calls for lead generation and customer feedback with seamless voice pipeline integration.

**Technologies:** Crewai, Langchain, LangGraph, Next.js, Node.js, Fastapi, AWS

[Website](https://kartavya.tech) · [LinkedIn](https://www.linkedin.com/company/kartavyatech) · [GitHub](https://github.com/Kartavya-AI)