01
Agentic AI
Agents, multi-agent workflows, tool use, and orchestration.
Hi, I'm
Sathwika Parshaboina
AI Software Engineer
Building AI systems for production.
I build AI systems end to end — from intelligent workflows and retrieval to backend services, evaluation, and production infrastructure.
- 0Years
- Software engineering
- 0
- Pricing calculations / day
- 0
- Production latency
- 0
- Latency reduction
Capabilities
AI systems, end to end.
02
RAG & Knowledge Systems
Retrieval, hybrid search, reranking, and grounded generation.
03
Conversational & Voice AI
Real-time AI agents with streaming and backend tool execution.
04
AI Evaluation & Reliability
Evaluation pipelines, guardrails, tracing, and observability.
05
Backend & Distributed Systems
Scalable APIs, event-driven systems, caching, and cloud infrastructure.
06
LLM Fine-Tuning
PEFT, LoRA/QLoRA, quantization, and model adaptation.
Projects
Selected work.
01
AI Financial Intelligence Platform
Evidence-grounded financial research system combining agentic workflows, structured data, hybrid retrieval, ranking, and automated evaluation.
- Question
- Plan
- RetrieveSQL + Vector
- Rank
- Analyze
- EvaluateGrounding + Reliability
- Answer
02
Real-Time Voice AI Agent
Real-time voice agent that handles hotel reservation workflows by verifying guests, retrieving booking data, and executing reservation changes through backend tools.
- Guest
- Voice Stream
- Nova Sonic
- Tool Executionverify · retrieve · update
- Reservation Data
- Response
03
LLM Fine-Tuning
Parameter-efficient LLM adaptation using fine-tuning and quantization.
- Base Model
- QLoRA
- Fine-Tune
- Adapted Model
04
Insurance Cost Estimator
Regression-based insurance cost prediction served through a web application.
- User Inputs
- Regression Model
- Cost Prediction
Contact
Let's connect.
Interested in my work or want to discuss an opportunity? Send me a message.
- Emailsathwikap25@gmail.com
- LinkedIn/in/sathwikaparshaboina
- GitHub/sathwika05