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Software Engineer with a Master’s degree in Computer Science and 3+ years of experience building AI systems and distributed infrastructure. Experienced in Python, RAG, agentic AI systems, model evaluation, and scalable ML infrastructure. I’ve delivered production-grade NLP/ML pipelines (OCR + HITL), built ReAct-based tool-calling agents with automated non-deterministic evaluation, and optimized retrieval quality using hybrid search and reranking—deploying and benchmarking on cloud/GPU environments.…Software Engineer with a Master’s degree in Computer Science and 3+ years of experience building AI systems and distributed infrastructure. Experienced in Python, RAG, agentic AI systems, model evaluation, and scalable ML infrastructure. I’ve delivered production-grade NLP/ML pipelines (OCR + HITL), built ReAct-based tool-calling agents with automated non-deterministic evaluation, and optimized retrieval quality using hybrid search and reranking—deploying and benchmarking on cloud/GPU environments.

Aditya Dawadikar

Software Engineer, AI Engineer, Data Scientist, +3

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Software Engineer with a Master’s degree in Computer Science and 3+ years of experience building AI systems and distributed infrastructure. Experienced in Python, RAG, agentic AI systems, model evaluation, and scalable ML infrastructure. I’ve delivered production-grade NLP/ML pipelines (OCR + HITL), built ReAct-based tool-calling agents with automated non-deterministic evaluation, and optimized retrieval quality using hybrid search and reranking—deploying and benchmarking on cloud/GPU environments.…Software Engineer with a Master’s degree in Computer Science and 3+ years of experience building AI systems and distributed infrastructure. Experienced in Python, RAG, agentic AI systems, model evaluation, and scalable ML infrastructure. I’ve delivered production-grade NLP/ML pipelines (OCR + HITL), built ReAct-based tool-calling agents with automated non-deterministic evaluation, and optimized retrieval quality using hybrid search and reranking—deploying and benchmarking on cloud/GPU environments.

Available to hire

Software Engineer with a Master’s degree in Computer Science and 3+ years of experience building AI systems and distributed infrastructure. Experienced in Python, RAG, agentic AI systems, model evaluation, and scalable ML infrastructure.

I’ve delivered production-grade NLP/ML pipelines (OCR + HITL), built ReAct-based tool-calling agents with automated non-deterministic evaluation, and optimized retrieval quality using hybrid search and reranking—deploying and benchmarking on cloud/GPU environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Language

Aragonese

Intermediate

Javanese

Intermediate

Work Experience

AI Research Assistant at San Jose State University, Dept of Computer Science

August 1, 2025 - Present

Developed an activation norms guided metric for selective LoRA fine-tuning of LLMs, improving training wall-clock speed and inference latency. Deployed A100 GPU clusters and created automation for distributed training (DDP) and tensor-parallel inference (TP). Used QLoRA and ZeRO for memory reduction and FlashAttention for faster training/inference in resource-constrained environments.

Applied AI Engineer at Quantiphi Analytics Solutions Pvt. Ltd. (GCP Practice)

January 1, 2022 - April 1, 2024

Built an event-driven OCR ingestion pipeline using Vertex AI, Apache Spark, Pub/Sub, and BigQuery to digitize and backfill a 5-year backlog of 50,000+ documents in under 6 hours with an 80% pass-through rate. Engineered a 6-stage Spark ETL pipeline processing ~1,200 records/min end-to-end for schema validation, normalization, and reference-data enrichment before loading curated datasets into BigQuery. Led an internal Human-in-the-Loop (HITL) platform (React/TypeScript/Python) enabling analysts to validate low-confidence OCR outputs and improve data quality. Automated dataset versioning and retraining workflows with Vertex AI SDK and BigQuery using shadow-mode deployments and offline evaluation prior to production rollout. Implemented centralized workflow tracking via outbox tables and event queues with stage-wise execution traceability and operational metrics via Cloud Logging, Prometheus, and Grafana. Built Git-based CI/CD to automate Docker build/test/deploy to Google Cloud Run and a

Applied AI Engineer at Quantiphi Analytics Solutions Pvt. Ltd.

January 1, 2022 - April 1, 2024

Built an event-driven OCR ingestion pipeline on Vertex AI using Apache Spark, Pub/Sub, and BigQuery to digitize and backfill a 5-year backlog of 50,000+ documents in under 6 hours. Engineered a 6-stage Spark ETL pipeline achieving ~1,200 records/minute for validation, normalization, and reference enrichment before loading curated datasets into BigQuery. Led an internal Human-in-the-Loop platform (React/TypeScript/Python) for analyst validation of low-confidence OCR outputs, with automated dataset versioning and model retraining via Vertex AI SDK and BigQuery. Implemented workflow tracking with outbox tables and event queues for end-to-end traceability and operational observability using Logging, Prometheus, and Grafana. Built Git-based CI/CD for automated Docker builds and deployments to Cloud Run with unit and end-to-end validation.