Vetted Python Professionals

Sowmya Medabalimi

Screened

Junior AI/ML Engineer specializing in generative AI and FinTech

Denton, TX3y exp

“Product-minded engineer/designer with hands-on experience shipping AI-powered web experiences, including a financial assistant at Intuit, a document verification platform at Mphasis, and a healthcare companion chatbot. Stands out for combining UX design, frontend implementation, and retrieval/LLM backend work to turn ambiguous AI concepts into simple, production-oriented user experiences.”

Daniel Waine

Screened

Senior Unity Engineer specializing in VR games and AI tooling

New York City, NY9y exp

“Unity gameplay engineer with end-to-end ownership across systems, tools, UI, networking, and VR porting. Notably introduced an agentic automated test bot that cut regressions by 40% and led a PC-to-Quest port that achieved a 4x memory reduction while preserving quality. Strong collaborator who unblocks stalled features by aligning design requirements with scalable technical architecture.”

“Front-end engineer with experience building sophisticated logistics analytics dashboards for Delta Air Lines operations teams, handling real-time shipment and transportation data across millions of records. Stands out for combining React/TypeScript architecture, browser-level performance debugging, and usability improvements for demanding operational users.”

“Healthcare product manager with deep experience building analytics workflows for hospitals, especially around 340B revenue opportunity analysis using EMR and claims data. They combine regulated-domain product delivery with hands-on AI prototyping, including a clinical assistant built with Python, Streamlit, OpenAI APIs, and FAISS, and have driven measurable workflow improvements such as a 40% reduction in turnaround time through data standardization and automation.”

“Backend-leaning full-stack engineer with production experience building TypeScript/React features and owning microservices in regulated financial and insurance environments. Stands out for hands-on work in fraud/AML systems, PostgreSQL performance tuning, and reliability improvements using Redis caching, replicas, circuit breakers, and load-focused architecture decisions.”

“Backend and full-stack engineer with experience spanning an academic collaboration platform and Comcast voice services. Stands out for measurable performance wins across the stack—30% faster page loads, 40% better throughput, and 25% lower server load—while working on reliability-sensitive production systems handling live voice traffic.”

“Full-stack engineer with experience at Wipro and Cisco building real-time monitoring and observability platforms from scratch. Stands out for combining streaming/data-pipeline depth (Kafka, Fluentd, Elasticsearch, Redis) with strong React/TypeScript frontend execution, and for delivering measurable impact such as cutting troubleshooting time by nearly a third.”

“Front-end engineer focused on sophisticated browser-based enterprise dashboards, with strong expertise in real-time data visualization and performance tuning under heavy load. Demonstrated deep knowledge of browser rendering internals and improved user trust by making a live operations UI responsive enough for time-sensitive decision-making.”

Jerome Reduta

Screened

Entry-level Full-Stack Engineer specializing in web applications

San Jose, CA1y exp

“Built and deployed a full-stack TypeScript "SillyStore" application with React, Express, and PostgreSQL, owning frontend, backend API, database design, and deployment. Stands out for pragmatic architecture decisions, hands-on SQL/Postgres work, and debugging production-like deployment issues caused by TypeScript and Node environment mismatches.”

Saikrishna Chandhrasekhar

Screened

Entry-Level Software Engineer specializing in systems, web development, and applied cryptography

College Station, TX

“Worked on CI/CD for a project called NXTFolio, including writing acceptance tests in Cucumber. Also collaborated with customers/operators via weekly check-ins to understand needs and align technical work to requirements.”

Chuangyu Xu

Screened

Entry-Level Software Engineer specializing in Java backend and distributed systems

New York, NY

“Built and shipped a production AI mock-interview platform where an LLM “interviewer” generates role-specific questions, runs multi-turn follow-ups, and outputs structured scoring/feedback using RAG. Demonstrates strong production-readiness practices (Prometheus/Grafana monitoring, retries/timeouts, fallback models/templates, schema validation, replay-based debugging) and achieved 99%+ availability with ~40% higher session completion. Also has experience integrating agents with messy SAP/ERP-style data sources using a data middleware layer, cleaning/validation, and idempotent write safeguards.”

“Built and deployed an LLM-powered customer support assistant (“Notable Assistant”) focused on automating common post-customer queries while maintaining multi-turn context and meeting scalability/latency needs. Experienced with production orchestration and operations using Kubernetes and Apache Airflow (DAG-based ETL, scheduling, monitoring/alerts), and has partnered closely with customer service stakeholders to align chatbot behavior with brand voice through iterative testing.”

“Applied NLP/ML engineer with experience at KeyBank and Novartis building production document intelligence and entity-resolution systems in finance and healthcare. Has delivered end-to-end pipelines (Airflow + AWS) using transformers (DistilBERT/Sentence-BERT), vector search (FAISS/Milvus/Pinecone), and human-in-the-loop labeling to achieve measurable gains (40%+ faster queries; up to 88% F1 and 93% precision/90% recall in entity linking).”

Kal Yimer

Screened

Mid-level Java Application Engineer specializing in FinTech backend systems

Silver Spring, MD3y exp

“Banking-focused software engineer with hands-on experience modernizing legacy systems and building internal full-stack applications using Java, Spring Boot, React, SQL, and MongoDB. Stands out for reliability-minded engineering in financial environments, including a scheduling system that handled Daylight Saving Time correctly, reduced manual work, and protected downstream processing.”

Janvitha Mandyam

Screened

Mid-level AI/ML Engineer specializing in Generative AI and NLP

Chicago, IL4y exp

“GenAI/LLMOps practitioner who deployed a production RAG-based customer service and knowledge retrieval system for a global bank using LangChain, FAISS/Azure Cognitive Search, GPT-4/Claude, and Guardrails—driving a reported 35% Q&A accuracy lift while reducing handle time and escalations. Also partnered with non-technical leaders at CVS Health to deliver ML-driven supply chain risk and inventory insights via anomaly detection, NLG summaries, and stakeholder-friendly dashboards.”

“Backend/data engineer with hands-on production experience building reliable Python FastAPI services on Kubernetes and delivering AWS EKS + Terraform CI/CD with strong secrets isolation and rollback practices. Also built AWS Glue ETL pipelines into S3/Redshift with schema-evolution handling and data-quality controls, modernized legacy analytics into modular Python services with parallel-run parity validation, and has demonstrated SQL tuning impact (minutes to seconds) plus ownership of batch pipeline incidents end-to-end.”

“Backend/data engineer with hands-on production experience building FastAPI APIs secured with JWT and delivering AWS-based data processing solutions using Lambda and ECS Fargate. Has worked with Snowflake/third-party API sources and targets including DynamoDB, S3, RDS, Redshift, and Glue, and uses CloudWatch/X-Ray for monitoring and troubleshooting. Seeking ~$65/hr and is open to onsite work in Bethesda, MD.”

Ryan Alemania

Screened

Senior Game Designer specializing in game economy, progression, and data-driven systems

Irvine, CA20y exp

“Game economy/progression designer with live-ops experience across MMO, CCG, and F2P strategy titles (ROSE Online, Vega Conflict/KIXEYE). Known for data-driven tuning of loot, currencies, and monetization—e.g., removing a low-performing pay gate drove ~14% DAU lift and improved revenue, and built premium-currency models using real player telemetry to support an ad-to-IAP transition.”

Andrew Sheehan

Screened

Executive engineering leader specializing in enterprise architecture and digital transformation

27y exp

“Candidate has spent years working with startups across various industries and has been involved in multiple stages of company building, including hiring, technology choices, and budgeting. They appear especially oriented toward operational discipline, cost control, and evaluating ideas through structured cost, time, and value analysis.”

“GenAI/RAG engineer who has deployed a production policy/regulatory search assistant for a financial client using LangChain + Vertex AI, FastAPI, Docker/Kubernetes, and Airflow-orchestrated data pipelines. Demonstrated measurable impact with 50–60% latency reduction and 70% fewer pipeline failures, plus KPI-driven grounding evaluation (90%+ target) and strong cross-functional collaboration with compliance/business teams.”

“Built and owned an end-to-end RAG-based AI support platform at Mechanize (FastAPI/LangChain/Pinecone/React) with rigorous evals and guardrails, driving 45% fewer support tickets and ~$280K annual savings. Also led a high-risk legacy modernization at Argo AI, incrementally extracting a monolithic Django backend using Strangler Fig + feature flags while supporting 10K+ concurrent users.”

Sean O'Dea

Screened

Executive CTO and software architect specializing in scalable SaaS and cybersecurity

Las Vegas, NV19y exp

“Repeat founder and operator who has built multiple startups, including a social platform, and chose to bootstrap after learning firsthand that investor demand was centered on distribution rather than technology. Brings a candid operator-side understanding of VC, term sheets, and fundraising dynamics, plus experience shipping against real scale at Parlement.”

“Frontend product engineer with hands-on experience designing and building trust-sensitive web experiences in blockchain and consumer flows. Shipped token management UX at Chia and an experimentation-driven registration change at The Black Tux that improved conversion by about 30%, showing a strong mix of product sense, frontend depth, and measurable business impact.”

“Software engineer/QA automation leader with Lowe’s experience owning automation quality strategy for a customer-facing platform supporting large contractor orders. Built TypeScript/React dashboards backed by Spring Boot microservices (MongoDB) and RabbitMQ async messaging, with strong CI/CD test automation and production monitoring (Prometheus/Grafana). Also created an internal automated test reporting dashboard that improved QA workflow through training-led adoption and iterative refinement.”