suchandra siripuram

Associate AI Engineer

Hyderabad, Telangana, India 1+ yrs exp 89 · Excellent

About

Data analytics and machine learning enthusiast with experience building predictive models and AI infrastructure. Proficient in Python, SQL, and modern AI frameworks, I specialize in architecting scalable data pipelines and deploying reliable AI safety systems to drive technological advancements.

Skills & Expertise (22)

Python Advanced

8.0/10

Years Exp

FastAPI Advanced

8.0/10

Years Exp

TensorFlow Advanced

8.0/10

Years Exp

PyTorch Advanced

8.0/10

Years Exp

Pandas Advanced

7.5/10

Years Exp

NumPy Advanced

7.5/10

Years Exp

Vector Embeddings Intermediate

7.0/10

Years Exp

CNNs Intermediate

7.0/10

Years Exp

Boto3 Intermediate

7.0/10

Years Exp

Sentence Transformers Intermediate

6.5/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

MySql Intermediate

6.5/10

Years Exp

JavaScript Intermediate

6.5/10

Years Exp

Node.js Intermediate

6.5/10

Years Exp

Postgresql Intermediate

6.5/10

Years Exp

Semantic Search Intermediate

6.0/10

Years Exp

RAG Intermediate

6.0/10

Years Exp

Matplotlib Intermediate

6.0/10

Years Exp

Seaborn Intermediate

6.0/10

Years Exp

MongoDb Intermediate

6.0/10

Years Exp

Prophet Intermediate

5.5/10

Years Exp

Tableau Intermediate

5.5/10

Years Exp

Work Experience

Associate AI Engineer

Quilr AI

Apr 2025 - Present

Designed a Priority-based Cascade matching system combining EDM, Falcon semantic embeddings, and few-shot intent classification, achieving 91.3% accuracy and <5ms latency via pre-computed embeddings and optimized SQLite/LanceDB storage. Built a custom FastDeploy model serving layer with consumer-producer batching for high-throughput concurrent inference, deploying ONNX-accelerated safety models (Prompt Guard) and Vectara hallucination detection for production AI systems. Engineered a cross-cloud extraction pipeline (AWS, GCP, Azure) with unified schemas and automated transformation logic, centralizing governance and security auditing for 100+ AI resource types including Bedrock, SageMaker, and Azure RAG.

Full Stack Intern

Wavelabs Technologies

Jan 2023 - Jun 2023

Engineered an automated data processing pipeline for Kubernetes cluster deployment, leveraging JavaScript, Node.js, and PostgreSQL to manage and streamline data workflows. Optimized deployment processes, reducing cycle time from 6 weeks to 3 weeks and significantly enhancing data accuracy and resource utilization. Collaborated with cross-functional teams to implement real-time monitoring and data validation, ensuring robust system performance.