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Vetted Unsupervised Learning Professionals
Pre-screened and vetted.
Jaideep Janapati
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
“Data engineer who has owned production pipelines end-to-end—from Kafka/Airflow ingestion through SQL/Python validation and dbt transformations into Redshift/BI. Also built and operated a large-scale distributed web scraping platform (50–100 sites daily, ~5–10M records/day) with Kubernetes, Kafka queues, robust retries/DLQ, anti-bot measures, and backfill-safe raw HTML storage.”
Satish Kumar Reddy
Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps
“Built and deployed a production LLM/RAG intelligent document understanding platform for healthcare clinical documents (notes, discharge summaries, diagnostic reports), integrating spaCy entity extraction, Pinecone vector search, and a Spring Boot API on AWS with monitoring and guardrails. Demonstrates strong MLOps/orchestration (LangChain, Airflow, Kubeflow/Kubernetes) and a metrics-driven evaluation approach, and partnered with a healthcare operations manager to cut manual review time by 80%.”
Anil Babu Bollina
Senior Computer Vision Engineer specializing in industrial automation and 2D/3D perception
“Machine-vision engineer who designed an end-to-end inline inspection station for white wood pallets, combining laser line profilers with 2D color line-scan imaging to detect protruding nails (~2mm threshold) at conveyor speeds. Solved real production constraints (lighting reflections, per-trigger depth/color alignment, barcode tracking) and improved system accuracy from ~80% to 99.5% using barcode symbology changes and Keyence reader AI features.”
Keeravani Chekuri
Mid-level AI/ML Engineer specializing in LLM systems and MLOps
“Built and deployed an AI tutoring assistant end-to-end at Nexora School, spanning discovery with school districts, multi-agent LangGraph/RAG architecture, AWS Bedrock migration, and post-launch stabilization. Stands out for combining hands-on LLM systems engineering with strong educator-facing trust building, FERPA-driven architecture decisions, and disciplined production practices around evals, logging, and messy document ingestion.”
Meghana Chowdary Borra
Junior Machine Learning Engineer specializing in predictive modeling and GenAI RAG systems
“LLM engineer who built and deployed an emotionally intelligent AAC communication system using an emotion-aware RAG pipeline (Empathetic Dialogues + GoEmotions) and a PEFT-adapted model. Experienced with LangChain/LangGraph and custom Python orchestration, focusing on reliability (guards, schema validation, fallbacks), latency optimization, and rigorous evaluation (automatic metrics + human-in-the-loop), with a reported 18% user satisfaction improvement.”
Sai Harsha Kurapati
Mid-level Backend Engineer specializing in distributed systems and industrial IoT
“Backend/Python engineer focused on real-time sensor/IoT analytics: built dashboards and a high-throughput ingestion pipeline (MQTT -> Python worker -> TimescaleDB) with buffering, batch inserts, and validation. Strong Kubernetes + GitOps practitioner (Dockerized microservices, HPA, probes, ArgoCD) who has handled production incidents like CrashLoopBackOff under peak load and supported an on-prem analytics migration to AWS using shadow traffic and rollback plans.”
Mid-Level Machine Learning & Backend Engineer specializing in computer vision and robotics systems
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and LLM retrieval systems
Mid-level Software Engineer specializing in AI platforms and full-stack systems
Intern AI/ML Engineer specializing in RAG and adversarial robustness
Junior Data Scientist specializing in LLMs, RAG, and multimodal AI
Mid-level Full-Stack Developer specializing in cloud, microservices, and ML-enabled apps
Senior AI/ML Engineer specializing in production ML and full-stack systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and cloud AI infrastructure
Mid-level Machine Learning Engineer specializing in MLOps, GenAI, and financial risk modeling
Mid-level AWS AI/ML Engineer specializing in cloud ML pipelines and NLP
Junior Full-Stack Software Engineer specializing in AI/LLM backend systems
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and scalable cloud ML
Junior Machine Learning Engineer specializing in LLM fine-tuning and AWS deployment
Mid-level AI/ML Engineer specializing in LLM agents, search/recommendation, and MLOps
Mid-level Data Scientist specializing in ML, NLP and forecasting