Algoritmos Jobs

I am seeking an expert in Artificial Intelligence, specifically in Machine Learning algorithms, to help write a tech paper for publication in IEEE. Research begins by identifying a novel problem and a potential algorithmic contribution. I do not have datasets, preliminary results, or an initial research idea to build from at this moment. The paper should focus on proposing a new algorithm. Venue and timeline matter to me : I care about where this lands, not just that it lands. Two things are important to me and I would like you to address both directly in your proposal. First, I want the paper to actually get cited. Tell me which venues you would target for work like this, why work published there tends to get picked up, and what citation counts are realistic in the first year or two. ...

I have a clean, ready-to-use Iris dataset and need a complete Support Vector Machine classification pipeline built around it. The job is straightforward: tune an SVM (scikit-learn or similar) to separate the three Iris species, document the process, and hand over reproducible code and results. Here’s what I expect: • A concise notebook or script that loads the data, performs any minimal preprocessing you find beneficial, runs hyper-parameter optimisation, trains the final model, and outputs accuracy, precision, recall and the confusion matrix. • A short write-up (markdown inside the notebook is fine) explaining why the chosen kernel and parameters work best, plus any insights you notice in the feature space. • Saved model file so I can deploy or reload it quickl...

I’m in the final stretch of my M-Tech and need a radar engineering student to cover me through the dissertation stage. The core of the work is Single module radars, with a tight emphasis on Waveform Analysis. The scope of the dissertation to be covered is as following. 1 Conceptual Modelling of Single Module Radar Architecture without hardware implementation. 2 Radar Signal Generation and Target Echo Simulation using MATLAB. 3 Digital Radar Signal Processing Card Emulation. 4 Performance Evaluation and Algorithm Validation, supported by simulation results.

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I need a web-based product management platform whose key strength is an algorithm-based engine that will optimise how work is planned, assigned and re-scheduled. Rather than a traditional board where tasks are dragged around manually, the system should analyse incoming work, available resources and due dates, then apply proven optimisation algorithms to produce the most efficient allocation automatically. Core flow • Users create projects, break them into tasks and enter constraints such as priority, effort estimates and deadlines. • The optimisation module processes those inputs in real time, suggesting the ideal task-to-resource schedule and continuously refining the plan as variables change. • A clean dashboard lets the team visualise the algorithm’s output...

I’m working through a graded assignment for my Data Science & AI course and need an expert hand with the assignment portion. The task isn’t massive, but it does require someone who can walk me through each step, provide clean, well-commented code (Python preferred), and explain the reasoning in plain language so I can confidently discuss the approach later. What I’ll need delivered: • A reproducible notebook or script that tackles the assignment requirements from data preprocessing through model evaluation • Brief inline comments plus a short write-up (one page is fine) summarizing methods, key metrics, and why those choices make sense • A quick call or chat after delivery so I can clarify any points before submission If that sounds straightforwa...

We are building a proprietary weighted similarity engine for a tech startup. We have a fully written, contractor-ready technical specification and need an experienced backend developer to build it. The scope involves: A multi-channel weighted similarity algorithm comparing two user profiles and returning a structured match score A two-stage architecture (a compatibility gate followed by a ranking layer) A read-only query interface to an external data graph we control A REST API endpoint returning structured JSON output A full unit test suite against seven defined test cases Clean documentation and a README Performance target: under 50ms per response You are building to a completed specification — not designing the system. Weights are injected as configuration at runtime, not hard-...

I’m working on a personal project that leans heavily on SymPy, and I’ve hit a limitation with the way the library handles division when both operands are integers. What I need is a clean modification to SymPy’s source so I can keep every operation strictly in the integer domain—avoiding automatic promotion to Rational objects—while preserving all of SymPy’s usual behaviour for non-integer or mixed-type inputs. Here’s what the job entails: • Identify the precise spot in SymPy’s core (likely sympy/core/ or related) where integer division is resolved. • Implement a path that returns the floor-divided Integer result (e.g. 7/3 → 2) or, if you prefer, expose a switch/flag or subclass that activates this behaviour only when reques...

I need a web-based dashboard, powered by the DhanHQ API, that continuously scans NSE and BSE option chains and fires in-app alerts whenever unusual activity appears. All the core metrics—RVOL, GEX, VEX, Gamma-Regime, Vex-Regime, Charm, CE & PE walls, Gamma-flip level, Dealer-Flow Score, and IV Rank/Percentile—must be user-configurable from the interface so I can tweak thresholds on the fly without touching code. The workflow I have in mind is simple: the backend fetches live data, applies my chosen parameter settings, calculates the signals, and streams results to a responsive web UI. When any metric crosses the threshold, the system should display a notification inside the application immediately and log the event for later review. Real-time charts, heat-maps, and summary...

Explicit Filtering Phase project as discussed in chat for phrase detection and resultant redirect.