profile = {
"name" : "Srikanth Reddy Nandireddy",
"role" : "Applied AI / LLM Engineer",
"education" : "M.S. Data Science & AI β University of Central Missouri",
"gpa" : 4.0,
"location" : "United States",
"open_to_work" : True,
"available" : "Immediately",
"focus" : ["Multi-Agent Orchestration", "LLM/RAG Systems", "MLOps"],
"frameworks" : ["Microsoft Agent Framework", "MCP", "ReAct", "FastAPI"],
"recent_win" : "HackerRank Orchestrate β 16 / 1,773 (Top 1%)",
"portfolio" : "https://srikanthreddynandireddy.me",
"gfg_streak" : "255 consecutive days",
}I build agentic AI systems that ship β multi-agent pipelines with Critic/Verifier
loops, MCP-grounded retrieval, layout-aware RAG, and the MLOps automation that takes them
from notebook to a live /predict endpoint you can hit with curl.
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5-agent Microsoft Agent Framework system β Planner-Executor + Critic/Verifier loop-back that flips Not Ready β Ready, MCP-grounded citations, all three Microsoft IQ layers. 1.0 readiness/risk accuracy on the ground-truth set.
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Two-stage VLM agent for insurance-claim adjudication, injection-safe by design (7/8 attacks blocked). Ranked 16 / 1,773 β Top 1% at HackerRank Orchestrate. 95% valid-image accuracy at ~$0.017/claim.
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Cognitive ML research agent: multi-hop ReAct planning, layout-aware RAG, adversarial double-blind peer review, recursive citation tracing. MRR@5 0.990 β 7.3Γ answer relevance over BM25.
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Production MLOps system β automated CI/CD retraining, MLflow Model Registry, Dockerized FastAPI on AWS EC2 behind Nginx, with
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SARIMAX vs Prophet vs XGBoost on 3,300+ records. Holdout MAE 138.14 β CV MAE 137.86 β near-zero overfitting. Plotly Dash dashboard on Render.
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BERT + Wav2Vec2 + ViT cross-modal Transformer fusion (4 layers, 8 heads). Weighted F1 60.66% on 7-class MELD, class-weighted loss for imbalance.
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Also on the bench: π° Fake News Detection β TF-IDF vs DistilBERT on 62K+ articles with dynamic F1-threshold tuning Β· π arXiv RAG Benchmark β empirical study of 4 retrievers Γ 3 chunk sizes over 150 papers
| Award | Details |
|---|---|
| π₯ Graduate Student Achievement Award 2025β2026 | University of Central Missouri Graduate Studies β Recognized for exceptional scholastic achievement, exemplary contributions to Data Science & AI, and outstanding character and leadership |
| π HackerRank Orchestrate β Top 1% | Ranked 16 / 1,773 Β· 24-hour AI agent hackathon (June 2026) |
| π₯ Global Rank 1 | CodeChef May Long Two β Division 4 Rated |
| π National Finalist | IICC Coding Competition β Top 1% of 100,000+ participants |
| π₯ Bronze Medal | Ranked Top 3 in B.Tech Academic Program |
| β 5β HackerRank | Data Structures & Algorithms |
| π₯ 255-Day Streak | GeeksforGeeks Problem of the Day |
| Degree | Institution | GPA |
|---|---|---|
| M.S. Data Science & AI (2024β2026) | University of Central Missouri | 4.0 / 4.0 |
| B.Tech CSE (Hons.) (2020β2024) | CMR College of Engineering & Technology | 9.06 / 10.0 |
Certifications: Microsoft Applied Skills β Developing Agents in Microsoft Foundry Β· Anthropic β Model Context Protocol Β· Anthropic β AI Fluency Β· AWS Academy β Data Analytics & Cloud Foundations Β· Google Data Analytics
I'm actively seeking full-time Applied AI / LLM Engineer & ML Engineer roles in the United States β available immediately.

