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Vetted Python Professionals
Pre-screened and vetted.
Vedang Jadhav
Mid-Level Software Engineer specializing in cloud-native microservices on AWS
“Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.”
Sanveed Adnan Qureshi
Senior Marketing Analytics & Operations Analyst specializing in performance marketing and BI
“Paid media/demand gen marketer who owned a $50K/month multi-brand budget (five business units) across Google Ads and LinkedIn Ads. Ran structured A/B tests and made fast budget reallocations based on benchmarks (CTR/CPL/lead quality), and diagnoses performance declines via funnel and saturation analysis (frequency/overlap) to stabilize CPAs and restore volume.”
vineetha Pulipati
Mid-level Software Engineer specializing in backend microservices and cloud data pipelines
“Backend engineer with Morgan Stanley experience building and owning an end-to-end Python FastAPI microservice for high-volume market data used by trading and risk systems. Strong in performance tuning and reliability (PySpark, Redis caching, async APIs), real-time streaming with Kafka, and production operations (Docker/Kubernetes, GitOps-style CI/CD, monitoring). Has led cloud/on-prem migration work across AWS and Azure, including fixing Azure Synapse performance issues via query and pipeline redesign.”
Sharanya Rao
Mid-level AI/ML Engineer specializing in NLP, LLMs, and RAG for finance and healthcare
“Built an AI lending assistant (RAG + DeBERTa) used by credit analysts to retrieve policies and past loan decisions, tackling real production issues like hallucinations, document quality, and sub-second latency. Deployed a modular, Dockerized AWS architecture (ECS/EMR + load balancer) with load testing, caching/precomputed embeddings, and CloudWatch monitoring, and used Airflow to automate scheduled data/embedding/vector DB refresh pipelines with retries and alerts.”
RAJ KUMAR
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
“Backend engineer at Discover who built and scaled Python/Flask services for a card dispute resolution platform, tackling long-running external network validations with Celery+Redis and delivering measurable gains (response time ~3s to <300ms; throughput +40%). Experienced in high-scale PostgreSQL/SQLAlchemy optimization (partitioning, read replicas, N+1 avoidance), event-driven systems with Kafka, and integrating ML fraud detection using AWS SageMaker/Lambda/ECS with clear separation of real-time vs batch processing.”
Madhu Sriram Sengottu Velan
Entry-Level Software Engineer specializing in backend systems and distributed services
“Backend/AI engineer from an early-stage Japan-based startup (WorkAI) who built a multi-tenant RAG system integrating Notion/Slack/Google Drive with Pinecone and OpenAI, including a chatbot retrieval workflow. Experienced in production reliability (rate limits, retries, verification layers), strong Python/FastAPI engineering practices, and PostgreSQL performance optimization; currently based in India and needs sponsorship.”
Pravalika Badam
Mid-level QA/SDET Automation Tester specializing in UI, API, mobile, and cloud testing
“SDET focused on end-to-end quality for web applications, owning UI/API/regression automation from framework design through CI/CD integration. Notably prevented a production payment/checkout incident by adding API validations that caught incorrect tax calculations (rounding logic) during CI before release, and has a track record of stabilizing flaky Cypress tests via robust selector and wait strategies.”
Federico Costa
Senior Game Designer/Producer specializing in multiplayer F2P live-service systems
“Game designer who led two shipped cross-platform soccer titles (Monkers League / Champs), owning core mode and control design across mobile and PC (controller + mouse/keyboard). Drove a major gameplay pivot from controlling a full team to single-character play and tuned controls via playtests to expand appeal beyond traditional sports fans, while also building engagement systems like season passes, tournaments, and live events amid repeated platform shifts.”
sudha kumari
Senior Full-Stack Product Engineer specializing in Next.js, TypeScript, and distributed systems
“Full-stack engineer who built and shipped an analytics dashboard for search visibility using Next.js App Router/TypeScript with a server-components-first data strategy and server actions for interactivity. Designed and optimized the underlying Postgres analytics model and queries at scale, and implemented a durable Temporal-based indexing workflow with retries and idempotency—plus delivered a major frontend performance jump (Lighthouse low 70s to mid-90s).”
Kwadwo Poku
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud platforms
“Software engineer who built and launched an end-to-end Ad Scheduler that automated campaign creation across Google Ads and Meta using Azure Functions/Service Bus, PostgreSQL, and a React frontend—reducing manual marketing ops work. Also shipped a production internal RAG chatbot leveraging a data warehouse + Cube semantic layer, Gemini embeddings, vector search, and Claude, with Langfuse tracing and brand-based access controls; work was cut short due to layoffs.”
Anudeep Eloori
Mid-Level Full-Stack Software Developer specializing in Java microservices and modern web apps
“Software engineer with experience building and iterating high-volume Spring Boot microservices on AWS (Docker/Kubernetes) and integrating with React front-ends. Also delivered an LLM-powered document summarization system using embeddings + retrieval (RAG) with grounding/guardrails and built evaluation loops that directly drove retrieval and chunking improvements. Has scaled Kafka-based pipelines processing millions of messy financial/infrastructure records with reliability and cost/latency tradeoff management.”
Erik Moyer
Director-level Data Science & Analytics Leader specializing in cloud data platforms and AI/ML
“Candidate states they are very familiar with the venture capital/studio/accelerator landscape and expresses strong willingness to pursue entrepreneurship "at all costs," but did not provide details on a current startup, business plan, fundraising, or prior accelerator/VC involvement during the interview.”
srilekha pothula
Mid-level Data Engineer specializing in cloud data pipelines for healthcare and financial services
“Data engineer with ~4 years of experience (Cigna) building and operating Azure Data Factory pipelines for healthcare claims/member/provider data at 2–3M records/day. Emphasizes reliability and downstream safety via schema/data-quality validation, quarantine workflows, idempotent processing, and backfills; also improved runtime ~20% through SQL optimization and served curated datasets through versioned views and well-documented, analyst-friendly interfaces.”
Ali Taquie
Junior Software Engineer specializing in AI and FinTech payments
“Forward-deployed software engineer at PayStand who uses LLM prototyping tools (e.g., Cursor, Lovable) to rapidly build customer-specific demo environments and drive sales outcomes—citing ~$100K in technical buy-in before production development. Experienced supporting an enterprise expense management product (Teampay) with agentic AI workflows, emphasizing observability (Grafana/Loki/Tempo) and cross-functional communication with sales, product, developers, and customers.”
Asvad Shaik
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and NLP
“Backend engineer who built and migrated a large-scale document intelligence platform used by legal, healthcare, and insurance clients, processing millions of pages. Experienced moving from a monolithic, LLM-heavy approach to a modular FastAPI service architecture with ML classification + RAG, strong validation/auditability, and enterprise security (JWT/OAuth, RBAC, PostgreSQL RLS) with zero-downtime incremental rollouts.”
Abhishek Saraswat
Mid-level Software Engineer specializing in Java backend microservices
“Backend/distributed-systems engineer focused on automation and near-real-time processing, building Java/Spring Boot microservices with Kafka, PostgreSQL, and AWS. Strong in scaling and reliability work—debugging tricky asynchronous messaging issues (delays, duplicates, out-of-order events) and improving resilience/observability with retries, fallbacks, logging, and monitoring. No production ROS/ROS2 experience yet, but has studied core ROS concepts and draws clear parallels to event-driven architectures.”
Divya T
Mid-Level Software Engineer specializing in cloud microservices and data processing
“Data-focused engineer who has built near real-time trending news sentiment pipelines end-to-end (API/web ingestion, validation, transformations, and dashboard serving) and implemented reliability patterns like retries with exponential backoff and backfills. Also shipped Java/Spring Boot REST APIs backed by SQL with indexing/pagination, and stood up an early-stage QR-based attendance MVP using Firebase with iterative hardening via logging and validation.”
Agna Antony
Mid-level Data Engineer specializing in cloud-native healthcare and enterprise data platforms
“Data Engineer (TCS) who owned an end-to-end CRM analytics pipeline for Bayer’s eSalesWeb integration, ingesting from Salesforce APIs/databases/S3 and serving analytics-ready datasets via PostgreSQL/S3 for Tableau. Drove measurable outcomes: ~60% reduction in manual data-quality effort, ~30% lower latency through SQL optimization, and ~35% improved stability via monitoring, retries, and idempotent processing.”
Jacob Allyn
Senior Physics & Gameplay Engineer specializing in Unity vehicle and multiplayer systems
“Unity/C# engineer who led and shipped a backend-driven mobile AR platform (4D VIEWR) using Vuforia, enabling dynamic content delivery without app updates and focusing heavily on stability under real-world tracking/connectivity constraints. Also shipped authoritative-server multiplayer matchmaking/gameplay flow for NBA 2K vehicle modes, including server-side anti-cheat validation and live issue instrumentation. Recently built a self-hosted multi-agent LLM pipeline to accelerate game-dev workflows with strong reliability and cost/latency controls.”
Robert Wheeler
Executive Technology Leader (CTO) specializing in cloud, AI/ML, and scalable product platforms
“Technical leader and hands-on engineer with 20+ years of experience who has previously raised funding and exited a venture. Currently bootstrapping a new AI-direction startup with personal and family capital, leveraging structured financial planning and a relationship-driven approach to investor outreach.”
Srija Akula
Junior Cloud & Security Engineer specializing in Kubernetes, AWS, and DevSecOps
“Backend engineer with deep experience building and evolving financial-services workflow systems where correctness, data integrity, and reliable state transitions outweigh raw throughput. Emphasizes idempotent, contract-driven FastAPI APIs with defense-in-depth security (JWT + row-level security) and careful, low-blast-radius migrations using feature flags, dual writes/shadow reads, and incremental rollout.”
Nishchal Gante
Mid-level Data Scientist specializing in MLOps and Generative AI
“Robotics software/ML engineer who built perception and navigation-related ML systems for autonomous supermarket carts, including object detection, shelf recognition, and obstacle avoidance. Strong ROS/ROS2 practitioner who optimized real-time performance (reported 50% latency reduction) and deployed containerized ROS/ML pipelines at scale using Docker, Kubernetes, and CI/CD.”
Akash Ramanathan
Junior Software Engineer specializing in cloud-native microservices and warehouse systems
“Backend engineer who built and launched a warehouse locations/inventory microservice for Walmart, supporting a new product rollout with on-call war-room ownership and now running across all US distribution centers. Emphasizes reliability and correctness (background syncs, 2PC concepts, alerting) plus design-first API development in Python/FastAPI with OAuth/JWT and RBAC, and has led staged legacy-to-microservice migrations with continuous data integrity verification.”