Vetted Shell Scripting Professionals

“Commercial UNIX specialist and former tech lead for a UNIX-based telco appliance spanning 11 SPARC Solaris servers, with strong Solaris troubleshooting (truss/iostat/netstat/snoop) and extensive shell scripting automation for safer, more consistent operations. Has executed multiple Solaris major-version migrations (6→8→10→11) and brings broad cross-UNIX platform experience (Solaris/SunOS/HP-UX/IRIX/OSF/1), while actively looking to deepen hands-on AIX/IBM Power expertise.”

“Backend-focused engineer who built an internal wiki LLM chatbot end-to-end using FastAPI, Kubernetes, and ChromaDB vector search, including frontend integration. Also has strong DevOps/migration experience—automating large work-item and repo migrations (Jira/FogBugz/ADO on-prem to cloud) via Python scripts, JSON mappings, REST APIs, and validation test suites.”

Akanksha Agrawal

Screened

Mid-Level Full-Stack Software Engineer specializing in event-driven data platforms

Bangalore, India5y exp

“Backend engineer with SAP experience modernizing a legacy Flask/PostgreSQL product master data platform into a modular, stateless, containerized service with Kafka-based background processing and improved observability. Also has hands-on academic/side-project experience operationalizing ML (NLP retrieval with TF-IDF/BERT via FastAPI and CV lane-edge detection inference APIs using PyTorch).”

Thirumalaesh Ashokkumar

Screened

Mid-level Robotics Engineer specializing in SLAM, perception, and state estimation

4y exp

“Robotics software lead with 4+ years of ROS/ROS2 experience spanning a startup (Inductive Robotics) and General Motors, building autonomous mobile manipulation and AMR material-handling stacks. Has hands-on depth in SLAM/navigation (Cartographer/Nav2), perception, and simulation, and has directly modified Cartographer to handle real-world sensor dropouts. Currently working on fleet-scale mapping capabilities (map merging/editing, trajectory pruning) for multi-robot deployments.”

Saiteja Gaddam

Screened

Mid-Level Data Engineer specializing in cloud data platforms and streaming analytics

3y exp

“Data engineer (Intuit) who owned an end-to-end telemetry and subscription analytics platform processing ~22M events/day, built on Kinesis/S3/Glue/Spark/Airflow/Redshift. Strong focus on reliability and data quality (schema drift controls, quarantine layers, idempotent reruns) and performance tuning, achieving a reporting latency reduction from ~15 minutes to under 4 minutes while enabling revenue and churn analytics for business teams.”

“Full-stack engineer with experience spanning Amazon IMDb and Northeastern’s NeuroJSON portal, combining consumer product work with complex scientific data applications. Built IMDb’s streaming providers feature—described as the company’s most impactful feature of 2023—and has hands-on experience with React/Angular, GraphQL, AWS, Python services, and production monitoring.”

“Built end-to-end LLM/RAG systems for biological data and scientific literature analysis in a drug discovery setting, helping researchers explore disease insights and treatment hypotheses faster. Combines applied GenAI product work with strong production engineering, including monitoring, retrieval optimization, reusable Python services, and scalable deployment on AWS/Kubeflow.”