Arshith Kakarla
Open to work2 years experienceAI Engineer
AI Engineer with 2 years of experience in Agentic AI, RAG, and conversational AI platforms.
Standing Rank
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Developer Badges
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Skills & Technologies
29 skillsWork Experience
AI Engineer
TCS
- Built an enterprise Agentic AI platform for secure, document-grounded conversational assistance.
- Enhanced multi-agent workflows for intent routing, reasoning, conversation memory, and action execution.
- Reduced AI response latency by 45% using hybrid retrieval, Redis caching, and optimized embedding search.
- Enhanced FastAPI services integrating AI agents with enterprise applications.
- Applied HITL, RBAC, AI guardrails, logging, and observability for production deployments, improving retrieval accuracy by 25% and ensuring reliable, citation-backed AI responses.
- Enhanced an AI-powered resume screening platform to automate candidate evaluation.
- Built document ingestion and parsing pipelines.
- Implemented SHA-256-based resume fingerprinting and optimized PostgreSQL indexing, reducing duplicate resume processing by 35%.
- Implemented asynchronous batch processing using Bull Queue, enabling immediate response to users while analysis executed in the background, reducing average wait time by 60%.
- Applied embedding-based semantic similarity search and LLM-powered candidate evaluation.
- Expanded REST APIs using FastAPI for recruiter workflows and AI inference.
- Improved prompt engineering and retrieval pipelines.
AI Engineer
NextGen COE
- Completed embedded Linux and Android device validation training.
- Executed device testing using Android Debug Bridge (ADB).
- Analyzed software and hardware logs during validation.
- Expanded a Proof of Concept (POC) for mechanized device test execution.
- Systematized log collection, reducing manual effort and improving debugging.
Machine Learning Engineer
MTS
- Containerized and deployed a transformer-based text summarization model on AWS EC2 using Docker for scalable inference.
- Built a FastAPI inference API with batch processing and response caching, reducing latency by 40% and improving throughput.
Projects
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Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
Publication
CNN-Based Skin Lesion Classification – Published in a peer-reviewed journal.
Certification
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Certification
AWS Certified Developer – Associate
About Details
Professional Bio
AI Engineer with 2 years of experience delivering AI-driven solutions across government and enterprise domains. Experienced in developing Agentic AI workflows, RAG-based applications, conversational AI platforms, and intelligent automation solutions.
B.Tech in Artificial Intelligence and Machine Learning in Artificial Intelligence and Machine Learning
SRM Institute of Science and Technology ( - Present)