We are seeking an experienced facilitator to lead a workshop for participants in the AWS Cloud Developer Program. The ideal candidate will have a strong background in AWS and excellent communication skills to engage and guide the group effectively. The workshop aims to enhance participants' understanding and practical skills in cloud development using AWS services.

Job Title - Front End - AI Developer (Work from Office- Plano, Texas) Duration - 90 Days Initial Engagement (20 Hours/week) Work Mode- Onsite Work Location- Plano, Tx Position Summary: We are hiring a Senior AI Native Developer to join an active client engagement in the restaurant technology space. This is a hands-on, on-site role with a dual mandate: driving development execution as a Senior Engineer and acting as a client-embedded technical liaison — a Product Owner / Technical Lead hybrid — working alongside the client's CTO, stakeholders, and ISHIR's India-based development team. This role suits someone who thrives in ambiguity, translates business requirements into shipped code, and is equally comfortable presenting to executive stakeholders and writing production-grade AI features in the same week. WHAT YOU'LL DO WHAT WE'RE LOOKING FOR Must-Have 8+ years of hands-on software engineering experience, with at least 2 years building AI/ML or LLM-integrated products Proven ability to work directly with clients — comfortable in executive meetings and boardroom-level presentations Strong full-stack background: React or equivalent frontend, Python or Node.js backend; Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI) — prompt engineering, RAG, tool/function calling Solid agile delivery experience: sprint planning, backlog grooming, coordinating distributed engineering teams US-based with ability to travel on-site to client locations (primarily Dallas, TX area) Exceptional written and verbal communication — you write as clearly as you code Strong Advantages Prior experience in a client-facing technical lead, senior PO, or solutions architect capacity at a services or consulting firm Familiarity with restaurant technology, hospitality SaaS, or B2B platform products Experience with Azure DevOps, CI/CD pipelines, and cloud-native deployments (Azure preferred) Hands-on with agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar Anthropic Claude Certified Architect (CCA-F) or equivalent AI platform certification ABOUT ISHIR ISHIR is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI. We are not just consultants, we are partners in our clients’ success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes. At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies. As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR. ISHIR attracts a special type of individual—someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration

**Job Description: Data Engineer** We are excited to announce an opening for an experienced Data Engineer to join our dynamic team in the United States. As a key player in our organization, you will be responsible for designing, developing, and implementing robust data pipelines that leverage Snowflake and Databricks technologies. In this role, you will collaborate closely with data scientists, analysts, and other stakeholders to ensure that our data infrastructure is optimized for performance, scalability, and reliability. The ideal candidate will possess a strong background in data engineering and cloud data platforms, demonstrating expertise in building and maintaining data solutions that support business intelligence and analytics initiatives. You should be well-versed in various ETL (Extract, Transform, Load) processes and possess a deep understanding of data modeling and data warehousing concepts. In addition to technical skills, we are looking for someone who has a passion for problem-solving and a keen ability to troubleshoot complex data issues. You will be expected to take the initiative in identifying areas for improvement within our data architecture and propose innovative solutions to enhance our data capabilities. This is a contract-to-hire position, providing a unique opportunity to immerse yourself in cutting-edge projects that have a significant impact on our organization. You will have the chance to work alongside a talented team of professionals who are dedicated to driving data-driven decision-making across the business. Key Responsibilities: - Design and implement data pipelines using Snowflake and Databricks to ensure efficient data flow and transformation. - Collaborate with cross-functional teams to gather requirements and translate them into scalable data solutions. - Monitor and optimize existing data processes to improve performance and reduce latency. - Develop and maintain comprehensive documentation for data architecture, pipelines, and processes. - Ensure data quality and integrity through rigorous testing and validation procedures. - Stay up-to-date with industry trends and emerging technologies in the data engineering space. Qualifications: - Bachelor’s degree in Computer Science, Information Technology, or a related field; advanced degrees are a plus. - Proven experience as a Data Engineer or in a similar role, with a strong focus on cloud-based data platforms. - Proficiency in data modeling, ETL processes, and data warehousing concepts. - Hands-on experience with Snowflake and Databricks; familiarity with other cloud services (AWS, Azure, GCP) is a bonus. - Strong programming skills in languages such as Python, SQL, or Scala. - Excellent analytical and problem-solving abilities, with a detail-oriented mindset. - Ability to work effectively in a fast-paced, collaborative environment. We offer a competitive compensation package and the opportunity to work on innovative projects that are shaping the future of our business. If you are a motivated and talented Data Engineer looking for a challenging and rewarding opportunity, we would love to hear from you. Join us in our mission to leverage data to drive insights and enhance decision-making across the organization.

I am looking for an experienced Python developer or algorithm specialist to rigorously test and validate a few scripts that I have. The script locates stocks that have been trending for 2-3 days on the MACD zero line PRE BREAKOUT . Your primary goal will be to stress test the script, identify edge cases, very output accuracy, and ensure robust performance under various conditions. Code review: Evaluate the existing code base for efficiency, security, and best practices. Functional Testing: run the script against sample data sets to verify output, accuracy Edge case testing: intentionally push the algorithm to its limits to find potential bogs, bottlenecks or failure points. Documentation: provide the detailed report of your findings, including reproduction steps for any bogs and recommendations for optimization. Requirements: proven experience in algorithm, testing the bargaining and performance optimization. Strong proficiency in python and relevant testing frameworks. Familiarity with API’s or database Excellent and analytical skills and attention to detail. To apply: please submit a brief proposal, including: 1. Examples of past projects where you tested de BAIRD or optimize an algorithm. 2. Your preferred mythology for testing this type of script.. 3. Your estimated turnaround time for this project..

Good Ground Innovation, Consultant Opportunity Posting Confidential | NDA Required Prior to Full Scope Disclosure Solar Cell / PV Optical Modeling Consultant Good Ground Innovation, LLC Location: Remote Engagement: Contract, project based, Phase II extension possible Start: Contingent on federal SBIR award. Not yet funded. About the Opportunity Good Ground Innovation is an independent invention company with three issued USPTO patents and a fourth allowed. We have submitted a NASA SBIR Phase I proposal built around a patented omnidirectional energy capture architecture, and are preparing a related NSF submission. The architecture uses a dimpled, conformal photovoltaic surface with an optional passive mirror array that redirects additional solar irradiance onto the cells without tracking or moving parts. We need a solar cell and optical modeling consultant to characterize energy capture performance of this geometry under Mars irradiance and dust optical depth conditions, and to model the photon redirection contribution of the mirror array. This is performance modeling and characterization, not photovoltaic cell design or fabrication. We need someone fluent in PV system performance modeling who can work from established irradiance and cell performance data to produce credible, federal proposal grade output. What This Is Not This is not a funded position yet. We are pre-award. If you require guaranteed paid work starting immediately, this is not the right fit right now. We are building a bench of qualified, vetted consultants ready to move the moment award funding clears, and want an honest conversation about availability and rate before that happens, not after. Scope (Phase I, Pending Award) Mars irradiance and solar capture modeling across seasonal and latitude dependent conditions, using triple junction GaInP/GaAs/Ge cell performance as the baseline. Dust optical depth modeling across the tau 0.5 to tau 2.0 range, characterizing output degradation relative to a flat panel baseline. Optical path modeling for the passive base mirror array, quantifying photon redirection gain versus an unmirrored configuration. Documentation suitable for a federal technical deliverable, with clear sourcing and defensible methodology. What We're Looking For Demonstrated experience in PV system performance modeling, ideally including space or extreme environment solar applications. Familiarity with PVLIB or comparable solar performance modeling tools. Comfort working from public domain irradiance and atmospheric data (NASA Mars Climate Database or equivalent) rather than running new physical tests, since Phase I is analytical, not lab based. Ability to produce federal proposal grade documentation. Willingness to sign an NDA before any technical scope, patent details, or proprietary geometry are shared. This is non negotiable, with no exceptions, regardless of reputation, reviews, or prior federal work. Process A signed NDA is required before any further technical detail, including the patent number, full geometry description, or proposal documents, is shared. If you are interested, please respond with relevant PV or optical modeling experience and your standard consulting rate. We will follow up with qualified respondents to begin the NDA process. We are not in a position to pay for proposal stage conversations. We are direct and transparent about funding status throughout this process and expect the same in return. Good Ground Innovation, LLC | Nevada incorporation, Washington State operations

We are seeking an experienced developer to create a customized Pi KVM (Keyboard, Video, Mouse) solution tailored to our specific needs. The ideal candidate will have a strong understanding of Raspberry Pi hardware and software, along with experience in video streaming and remote access protocols. Your expertise will help us implement a reliable and efficient KVM solution for our project. If you have a passion for innovative tech solutions and hands-on experience in building similar systems, we want to hear from you! The equipment we specialize in selling and service are Siemens Pet CT Scanners. Monitor Project 1. Monitor Power from Poser Monitor a. We use Elspec power monitors that use an older web based monitor for viewing. It also has a Modbus for gathering data. We need this data brought into the system for graphing and viewing. 2. Monitor Temp and humidity a. This monitor should show temp and humidity in each location visually for the tech. While also sending the data to the system for graphing. b. These should be plugged into a power source, they will get forgotten and not recharged or battery replaced by the tech. c. The main computer/PI will be 10-60 feet from each sensor, so the data transmission needs to be thought through with this in mind. Some area’s are also in rooms that are lead lined. 3. Monitor Chilled water Temp/Flow/Level. a. Chiller is located in the belly of the mobile. b. Fixed site should possibly be monitored also. c. Cold weather – the ambient temp in the belly should be monitored also and connected to a heater and turned on a certain temp. 4. Connection to Server/Cloud a. We should always want to go through the best and most reliable source. Either through wifi/Wired or Cell is that isn’t available. Both have issue. b. Cell has issues in certain locations, and some networks it is too diQicult and problematic for us to go through. 5. Connection for PiKVM a. We usually put a cell connection into the piKVM, but that is hard to share with other devices. b. It might be easier to go through the network/Cell for this device and have it share with the PiKVM. 6. Gathering of data from ICS a. Graphing data from these data points from the ICS i. QC’s ii. Gantry Temps iii. Establishing highs and lows for warnings b. Storage of backups c. Software loads for systems. 7. Sensitivity of power for system/ UPS

ONSITE WORK REQUIRED We are seeking a network automation consultant with strong Python skills to configure an enterprise-level network for our home office in Alpharetta, GA. The ideal candidate will have experience in network security and administration, ensuring a secure and efficient network setup. This is a small scale project expected to last less than 5 days. However, should there be a good fit between consultant and client, there is strong potential for ongoing Managed Services agreement.

About the Role: We are seeking a highly qualified Senior Machine Learning and Natural Language Processing Engineer with deep expertise in sentence parsing, contextual understanding, categorization, and language extraction to support and advance Sybal’s Proof of Governance® (PoG™) platform. This role blends advanced NLP engineering, full-stack development, and enterprise-grade deployment. You will design custom NLP models, build scalable AI-driven services, and deploy production-ready applications that transform raw policy and technical language into structured governance intelligence. You must be a senior-level full-stack engineer proficient in Python, Django, JavaScript, HTML, and CSS, with the ability to dockerize and deploy applications into production environments. Experience commercializing enterprise AI applications is required. You should also be familiar with using agentic AI tools in a development context—for debugging, workflow acceleration, rapid prototyping, and improving engineering efficiency. ________________________________________ Key Responsibilities: NLP & Machine Learning Engineering: • Build advanced NLP models for sentence parsing, context detection, semantic analysis, entity extraction, and policy language interpretation. • Develop hybrid ML + rule-based systems that support governance modeling and policy decomposition. • Create pipelines for text ingestion, annotation, categorization, and structured language extraction. • Design evaluation frameworks for accuracy, drift, reliability, and linguistic precision. • Research and implement non-LLM NLP methods relevant to governance and policy analysis. Full-Stack Engineering: • Develop production-ready applications using Python (spaCy, NLTK, TensorFlow, or PyTorch to build and optimize NLP models), Django, JavaScript, HTML, CSS, and modern tooling. • Further develop NLP models for PoG™ Feature enhancements. • Develop and maintain secure, scalable REST APIs and backend services. • Integrate ML components seamlessly into PoG™’s architecture. Production Deployment & DevOps: • Dockerize machine learning pipelines and full-stack applications for uniform deployment. • Deploy and manage services in cloud production environments (AWS, GCP, or Azure). • Set up CI/CD pipelines, monitoring, observability, and scalable containerized processes. • Ensure production performance, uptime, and system reliability. AI Automation for Engineering Efficiency: • Use agentic AI tools to assist with debugging, test generation, workload orchestration, and internal development workflows. • Integrate AI-assisted coding tools responsibly into engineering processes. Contribute to the Proof of Governance® Platform: • Build NLP and ML components that strengthen PoG™’s ability to: • Map policy language into structured governance data • Detect enforceability gaps • Identify policy dependencies and contextual interactions • Deliver measurable, enforceable governance intelligence • Collaborate with PoG™ architects to extend platform intelligence across governance domains. ________________________________________ Qualifications: Required Skills & Experience: • 6–10+ years of software engineering experience with specialization in ML and NLP. • Mastery of sentence parsing, syntax/semantic analysis, dependency modeling, and contextual extraction. • Proven experience commercializing enterprise AI or ML-driven applications. • Proficiency in: o Python o Django o JavaScript o HTML / CSS • Demonstrated ability to dockerize applications and deploy them into production. • Strong understanding of ML architecture, data modeling, distributed systems, and backend engineering. • Experience using agentic AI tools for engineering workflows (debugging, code analysis, test generation). • Strong cloud engineering experience (AWS, GCP, Azure). Preferred Qualifications: • Background in computational linguistics or structured policy analysis. • Experience with ontologies, taxonomies, or governance modeling. • Prior work in regulated, audit-heavy, or mission-critical environments. • Contributions to high-scale enterprise software platforms. ________________________________________ Who You Are: • You excel in both advanced NLP engineering and full-stack software development. • You can design systems end-to-end—from custom algorithms through front-end integration to production deployment. • You understand how to use AI to accelerate development processes. • You are driven by building systems that transform governance from assumption to measurable, enforceable proof. • You are excited to contribute to the continuous evolution of PoG™

We are looking for an experienced API Integration Engineer to help finalize and optimize integrations for our security platform. The ideal candidate will have strong experience working with third-party APIs, authentication mechanisms, cloud-based AI services, and troubleshooting production integrations. Your primary responsibility will be to validate and configure API credentials for URL classification and IP reputation services, identify and integrate the correct Large Language Model (LLM) endpoint (OpenAI, Claude, Azure OpenAI, or custom/internal models), and ensure the overall system is secure, reliable, and high performing. This is a short-term contract with the potential for ongoing work if the engagement is successful. Responsibilities 1. Verify and configure API credentials for: - URL Classification services - IP Reputation services - Threat Intelligence APIs 2. Validate authentication methods including: - API Keys - OAuth 2.0 - Bearer Tokens - JWT 3. Identify the correct LLM provider and endpoint, including: - OpenAI - Claude (Anthropic) - Azure OpenAI - Google Gemini - Internal/custom LLM deployments 4. Confirm that all required API keys, secrets, and access tokens are correctly configured. 5. Test API connectivity and verify successful authentication. 6. Troubleshoot integration issues across development and production environments. 7. Optimize API performance, latency, retry mechanisms, and error handling. 8. Collaborate closely with our development team to resolve integration challenges. 9. Document the configuration process and provide recommendations for future maintenance. 10. Ensure best practices for credential management and secure secret storage. Required Skills 1. Strong experience integrating REST APIs 2. Experience with authentication protocols: - API Keys - OAuth2 - JWT - Bearer Tokens 3. Experience working with AI APIs including one or more of: - OpenAI - Anthropic Claude - Azure OpenAI - Google Gemini 4. Familiarity with URL reputation and threat intelligence services 5. Experience integrating IP reputation APIs 6. Strong debugging and troubleshooting skills 7. Knowledge of HTTP/HTTPS, JSON, webhooks, and API testing tools (Postman, Insomnia, etc.) 8. Experience with Python, Node.js, or similar backend technologies 9. Familiarity with cloud environments (AWS, Azure, or GCP) To Apply Please include the following in your proposal: - Brief overview of your experience with API integrations. - Examples of projects involving OpenAI, Claude, Azure OpenAI, or other LLM integrations. - Experience integrating URL classification, IP reputation, or cybersecurity APIs. - Your preferred development stack. We are looking for a highly skilled engineer who can quickly identify integration issues, ensure secure API connectivity, and help us deliver a robust, production-ready solution. If you have strong experience with API authentication, AI integrations, and troubleshooting complex systems, we'd love to hear from you.

I'm an independent inventor (Massachusetts LLC, patent-pending) developing a portable sports-training device that uses a projected laser line and a global-shutter mono camera to measure the angle of a small metal striking surface at the moment of impact. Target accuracy is ±0.5° on the angular measurement, with measurement latency under 2 seconds, and direct-sunlight robustness as a key engineering risk. This is an end-to-end Phase-0 feasibility engagement. The working assumption is laser-line + global-shutter mono camera with bandpass filtering, but I want your read on whether that's the right approach for this accuracy and these conditions. I have a strong lean, not a closed decision, and I'd rather you push back early than build something the wrong way. Once we align on the approach, you'll spec the bench rig (camera model, laser modules, filters, optics, baseline geometry, target mounting); I'll source the parts from your BOM and either ship the components for you to assemble or assemble and ship a built rig, your preference, whichever fits your workflow best. From there you capture data under controlled and outdoor conditions, develop the detection and calibration pipeline, and deliver a working codebase plus a written accuracy/robustness report. Hardware is returned to me on completion (or retained for a follow-on engagement if we both want to continue). What you'll deliver: 0. Approach review + rig spec. A short written deliverable (2–4 pages) covering: (a) your read on the proposed sensing approach, affirm + refine, or argue for an alternative with reasoning and a specific recommendation; (b) a bench-rig BOM with specific parts (camera model, laser modules, bandpass filters, optics, mounting, target plate) sized for the working distance and accuracy spec; (c) laser-to-camera baseline geometry with your reasoning, and recommended calibration targets. I'll source the parts from your BOM. We'll decide together whether I ship components for you to assemble or assemble and ship a built rig, whichever you'd rather. 1. Rig assembly or acceptance + baseline capture. Receive shipped parts (or built rig), assemble or validate alignment as appropriate, confirm basic optical performance against the M0 spec, then capture a baseline dataset (~200 frames per configuration) under controlled indoor lighting. Photos of the as-built rig and a setup diagram included. 2. Detection pipeline. A Python/OpenCV module that extracts the projected laser line with sub-pixel accuracy from frames at 60–100 fps. Sub-pixel line fit (Steger, Gaussian, parabolic) or weighted centroid, your choice with a short justification. 3. Calibration framework. Documented procedure and accompanying script for mapping pixel displacement to angular displacement of the target plate, accounting for camera intrinsics, lens distortion, and laser-to-camera baseline geometry. Validation against ground-truth rig angles. 4. Robustness data capture + analysis. Re-capture under (a) bright indoor with mixed daylight and (b) direct outdoor sunlight, for both laser variants with and without matched bandpass filters. Quantified accuracy + jitter per condition. 4–8 page PDF report comparing visible-red + bandpass vs. near-IR + matched bandpass. 5. Stretch (optional milestone): First cut at deriving angle-at-impact from a short pre/post-impact image sequence, pseudocode or working prototype, whichever fits the time budget. Deliverable format: Well-commented Python module(s) in a Git repo I'll provide, a README that walks a junior engineer through running the pipeline end-to-end, the captured datasets (raw frames + ground-truth angles), and a PDF report. What I'm looking for: - Comfort giving an unambiguous engineering recommendation: "use this approach with these parts" or "don't and here's why, and here's what to do instead." Phase 0 succeeds or fails based on the judgment in Milestone 0 as much as the algorithm in later milestones. - 5+ years of practical computer vision work, with shipped projects involving line/edge detection, sub-pixel feature localization, or structured-light triangulation. - Comfort doing your own benchtop work; mounting, alignment, basic optics handling. - Strong Python + OpenCV; comfort with NumPy/SciPy for the line-fit and calibration math. - Camera calibration experience (OpenCV calibrateCamera, distortion coefficients, projective geometry). - A workspace where you can run an outdoor sunlight test safely and legally with a Class-2 visible-red laser and a Class-1 IR laser module. - Bonus: prior work with laser triangulation, structured-light scanning, or sports/motion-tracking applications. - Bonus: experience deploying CV pipelines to Raspberry Pi or ESP32-S3-class hardware (potential follow-on scope). Engagement: - Fixed-price (preferred): $5,000–$7,500 total, paid across 5 milestones (approach review + rig spec → baseline capture → detection pipeline → calibration → robustness report). - Hourly alternative: $70–$140/hr with a 75-hour cap, then re-scope. - Duration: 5–7 calendar weeks (approach-review phase happens up front; ~1 week round-trip shipping after rig build). - Weekly 30-min check-ins (US Eastern preferred; flexible). - Hardware: shipped to you fully insured at my cost. Returned (insured, my prepaid label) on completion, or retained for follow-on engagement. - Possible follow-on: porting the pipeline to Raspberry Pi / ESP32-S3, IR laser variant tuning, integration support for the next prototype phase. Before we start: Short NDA + IP assignment signed before I ship the kit, share the technical design doc, or grant repo access. Upwork's standard terms transfer IP on payment, but I want a standalone signed PIIA on file as well, routine, less than 1 hour of your time. To apply, please include: 1. 1–2 examples of prior CV work involving sub-pixel localization, line fitting, or laser/structured-light triangulation. Paragraph + GitHub or paper link. 2. Three or four sentences on your approach to extracting a sub-pixel laser line centroid from a single frame. 3. Confirm you have a workspace where you can run both indoor and outdoor (direct-sunlight) image captures with a small bench rig, and that you're comfortable assembling the shipped kit. 4. Whether you prefer fixed-price or hourly, and your proposed milestone breakdown. 5. Without committing to a final answer until you've seen the full spec, a quick take: do you think projected laser line + global-shutter mono camera is the right sensing approach for ±0.5° angular accuracy at 60–100 fps under direct sunlight, or would you steer me toward a different approach? Two or three sentences. Looking forward to talking with strong candidates. Jason