CV

Education

• M.S. in CS @ NYU (Courant Institute of Mathematical Sciences), Aug. 2024 - May 2026 (Expected) — GPA: 3.85/4.00
• B.E. in Computer Science, BITS Pilani - Hyderabad Campus, Aug. 2019 - May 2023 — GPA: 8.65/10

Work experience

• Feb 2026 – Present: Software Engineer Intern, AI/ML
  • Corvic AI — Remote
  • Built AI-driven data enrichment pipeline (Web Augment) with Temporal workflows, batched execution, and row-level retry across ~2,500 lines in 28 files.
  • Redesigned DataApp embedding API with dynamic dimension resolution via HuggingFace AutoConfig, decoupling callers from internal model details.
  • Implemented full-stack MCP tool integration enabling AI agents to discover, cache, and execute external tools (~1,500+ lines across ~20 files).
  • STACK: Python, gRPC, Protobuf, Temporal, SQLAlchemy, PostgreSQL, OpenAI API, BAML, Polars, PyArrow, MCP/fastmcp
• Jun 2023 – Aug 2024: Data Analytics Engineer
  • Providence — Hyderabad, India
  • Built Snowflake stored procedures transforming multi-million-row marketing data into analytical star schemas.
  • Developed Azure DevOps pipeline automation saving ~60 hours/month across a 5-developer team.
  • Built 4 Power BI dashboards and contributed to a 14-dashboard reporting ecosystem.
  • Augmented internal ETL framework using Azure Data Factory at 10M+ row scale.
  • STACK: Azure Data Factory, Snowflake, SQL, Power BI, Azure DevOps, Azure Key Vault
• Jan 2023 – Jun 2023: Machine Learning Intern
  • SuperPe.in — Bengaluru, India
  • Built OCR-based merchant-document validation pipeline with 97% accuracy via Google Cloud Vision + OpenCV.
  • Developed RAG-based chatbot using LangChain + Milvus with hybrid BM25 + dense retrieval.
  • Built onboarding funnel dashboards that informed changes associated with 40% reduction in drop-off.
  • STACK: Python, PostgreSQL, AWS Lambda, Google Cloud Vision, LangChain, Milvus, GPT-3.5

Skills

• Languages
  • Python, C++, C, SQL, Java, TypeScript, JavaScript
• ML / AI Engineering
  • PyTorch, Hugging Face, vLLM, DeepSpeed, LangChain, LangGraph, CUDA, OpenCV, scikit-learn, TensorFlow
  • Search & Ranking, RAG, Vector DBs (Milvus, FAISS), Distributed Training/Inference, LLMs
• Data Engineering
  • Snowflake, PostgreSQL, Polars, PyArrow, Apache Arrow, HDFS, MapReduce, Hive, Trino, Kafka
  • Azure Data Factory, Power BI, ETL, CI/CD
• Infrastructure & DevOps
  • Docker, Kubernetes (GKE), AWS (Lambda, S3, EFS), GCP (Vertex AI, Artifact Registry), Singularity, SLURM
  • gRPC, Protobuf, Temporal, FastAPI, Git, BAML, MCP

Publications

Auto-Markup BenchMark: towards an industry-standard benchmark for evaluating automatic document markup

Prescod, P.; Feuer, B.; Hladkyi, A.; Paulk, S.; Prasad, A. (2023). Auto-Markup BenchMark: towards an industry-standard benchmark for evaluating automatic document markup. Proceedings of Balisage: The Markup Conference 2023, Balisage Series on Markup Technologies, Vol. 28.

Context-Aware Behavioral Fingerprinting in IoT Devices

Prasad, A.; Biju, K.; Somani, S. and Mitra, B. (2023). Context-Aware Behavioral Fingerprinting of IoT Devices via Network Traffic Analysis. 20th International Conference on Security and Cryptography, SECRYPT 2023.

Teaching

Teaching Assistant